Generic
Geekbench ML Score
3298
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 22 2024 09:40 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock X299 Creator |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10980XE |
| Topology | 1 Processor, 18 Cores |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 18 Cores |
| L1 Instruction Cache | 32.0 KB x 9 |
| L1 Data Cache | 32.0 KB x 9 |
| L2 Cache | 1.00 MB x 9 |
| L3 Cache | 24.8 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1771
331.3 IPS |
|
|
Image Classification (F16)
|
100% |
1755
328.5 IPS |
|
|
Image Classification (I8)
|
99% |
2878
538.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1359
22.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1445
24.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2075
34.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
2319
2.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
7413
8.98 IPS |
|
|
Pose Estimation (I8)
|
100% |
22097
26.8 IPS |
|
|
Object Detection (F32)
|
100% |
1553
115.9 IPS |
|
|
Object Detection (F16)
|
100% |
1684
125.8 IPS |
|
|
Object Detection (I8)
|
62% |
1416
105.7 IPS |
|
|
Face Detection (F32)
|
100% |
3725
44.3 IPS |
|
|
Face Detection (F16)
|
100% |
3789
45.0 IPS |
|
|
Face Detection (I8)
|
89% |
4138
49.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
7261
56.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
7805
60.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
12989
100.7 IPS |
|
|
Style Transfer (F32)
|
100% |
20833
27.4 IPS |
|
|
Style Transfer (F16)
|
100% |
19982
26.3 IPS |
|
|
Style Transfer (I8)
|
98% |
23424
30.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3456
123.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3622
129.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3640
130.0 IPS |
|
|
Text Classification (F32)
|
100% |
1021
1.47 KIPS |
|
|
Text Classification (F16)
|
100% |
1351
1.94 KIPS |
|
|
Text Classification (I8)
|
98% |
363
521.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1853
34.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1818
33.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2150
39.6 IPS |
