Micro Computer (HK) Tech Limited AtomMan G Series
Geekbench ML Score
12130
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 06:18 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited AtomMan G Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd DRBAA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7600M XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6908
1.29 KIPS |
|
|
Image Classification (F16)
|
100% |
6940
1.30 KIPS |
|
|
Image Classification (I8)
|
100% |
6260
1.17 KIPS |
|
|
Image Segmentation (F32)
|
100% |
7566
126.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
7657
127.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
5915
98.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
75240
91.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
74147
89.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
66954
81.1 IPS |
|
|
Object Detection (F32)
|
100% |
4028
300.7 IPS |
|
|
Object Detection (F16)
|
100% |
4006
299.1 IPS |
|
|
Object Detection (I8)
|
62% |
3700
276.2 IPS |
|
|
Face Detection (F32)
|
100% |
17622
209.5 IPS |
|
|
Face Detection (F16)
|
100% |
17038
202.6 IPS |
|
|
Face Detection (I8)
|
89% |
15059
179.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
33250
257.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
33579
260.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
28202
218.7 IPS |
|
|
Style Transfer (F32)
|
100% |
117301
154.3 IPS |
|
|
Style Transfer (F16)
|
100% |
115517
152.0 IPS |
|
|
Style Transfer (I8)
|
98% |
106191
139.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19045
680.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18825
672.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15375
549.1 IPS |
|
|
Text Classification (F32)
|
100% |
2172
3.12 KIPS |
|
|
Text Classification (F16)
|
100% |
2170
3.12 KIPS |
|
|
Text Classification (I8)
|
98% |
1527
2.19 KIPS |
|
|
Machine Translation (F32)
|
100% |
2868
52.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2839
52.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2162
39.8 IPS |
