System manufacturer System Product Name
Geekbench ML Score
20443
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Technoguide |
| Upload Date | September 07 2024 04:44 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X299-A II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900X |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 32.0 KB x 10 |
| L2 Cache | 1.00 MB x 10 |
| L3 Cache | 19.2 MB x 1 |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8058
1.51 KIPS |
|
|
Image Classification (F16)
|
100% |
9287
1.74 KIPS |
|
|
Image Classification (I8)
|
100% |
6941
1.30 KIPS |
|
|
Image Segmentation (F32)
|
100% |
10263
171.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
10194
170.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
9742
162.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
246123
298.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
247963
300.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
219468
265.8 IPS |
|
|
Object Detection (F32)
|
100% |
4786
357.3 IPS |
|
|
Object Detection (F16)
|
100% |
4867
363.3 IPS |
|
|
Object Detection (I8)
|
54% |
4672
348.8 IPS |
|
|
Face Detection (F32)
|
100% |
26908
319.9 IPS |
|
|
Face Detection (F16)
|
100% |
26175
311.2 IPS |
|
|
Face Detection (I8)
|
88% |
24803
294.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
78184
606.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
72756
564.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
57301
444.4 IPS |
|
|
Style Transfer (F32)
|
100% |
406736
535.0 IPS |
|
|
Style Transfer (F16)
|
100% |
407041
535.4 IPS |
|
|
Style Transfer (I8)
|
98% |
360594
474.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
43126
1.54 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
41379
1.48 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
33887
1.21 KIPS |
|
|
Text Classification (F32)
|
100% |
2472
3.55 KIPS |
|
|
Text Classification (F16)
|
100% |
2469
3.55 KIPS |
|
|
Text Classification (I8)
|
98% |
1479
2.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
2828
52.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2817
51.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1817
33.4 IPS |
