Micro Computer (HK) Tech Limited AtomMan G Series
Geekbench ML Score
13837
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 04:32 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited AtomMan G Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd RPDMA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7071
1.32 KIPS |
|
|
Image Classification (F16)
|
100% |
7085
1.33 KIPS |
|
|
Image Classification (I8)
|
100% |
6407
1.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9651
161.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
9821
164.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
8924
149.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
91931
111.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
93456
113.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
83398
101.0 IPS |
|
|
Object Detection (F32)
|
100% |
3251
242.7 IPS |
|
|
Object Detection (F16)
|
100% |
4898
365.7 IPS |
|
|
Object Detection (I8)
|
63% |
4439
331.4 IPS |
|
|
Face Detection (F32)
|
100% |
17589
209.1 IPS |
|
|
Face Detection (F16)
|
100% |
17196
204.5 IPS |
|
|
Face Detection (I8)
|
89% |
13847
164.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
42918
332.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
35448
274.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
32614
252.9 IPS |
|
|
Style Transfer (F32)
|
100% |
173324
228.0 IPS |
|
|
Style Transfer (F16)
|
100% |
142770
187.8 IPS |
|
|
Style Transfer (I8)
|
98% |
123403
162.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
25338
904.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
29104
1.04 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
18291
653.2 IPS |
|
|
Text Classification (F32)
|
100% |
2686
3.86 KIPS |
|
|
Text Classification (F16)
|
100% |
2673
3.84 KIPS |
|
|
Text Classification (I8)
|
98% |
1378
1.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
2971
54.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2889
53.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1705
31.4 IPS |
