System manufacturer System Product Name
Geekbench ML Score
3629
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 16 2025 08:56 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X299-A II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-7900X |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.30 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 | 13.8 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1721
322.0 IPS |
|
|
Image Classification (F16)
|
100% |
1744
326.3 IPS |
|
|
Image Classification (I8)
|
97% |
2548
476.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1359
22.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1417
23.7 IPS |
|
|
Image Segmentation (I8)
|
97% |
2037
34.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
14420
17.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
14440
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
19367
23.5 IPS |
|
|
Object Detection (F32)
|
100% |
1835
137.0 IPS |
|
|
Object Detection (F16)
|
100% |
1820
135.9 IPS |
|
|
Object Detection (I8)
|
60% |
1490
111.2 IPS |
|
|
Face Detection (F32)
|
100% |
3270
38.9 IPS |
|
|
Face Detection (F16)
|
100% |
3270
38.9 IPS |
|
|
Face Detection (I8)
|
87% |
3888
46.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
9150
71.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
9310
72.2 IPS |
|
|
Depth Estimation (I8)
|
74% |
11317
87.8 IPS |
|
|
Style Transfer (F32)
|
100% |
26694
35.1 IPS |
|
|
Style Transfer (F16)
|
100% |
26758
35.2 IPS |
|
|
Style Transfer (I8)
|
85% |
20024
26.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3765
134.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3797
135.6 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3017
107.7 IPS |
|
|
Text Classification (F32)
|
100% |
1290
1.85 KIPS |
|
|
Text Classification (F16)
|
100% |
1258
1.81 KIPS |
|
|
Text Classification (I8)
|
94% |
393
564.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1798
33.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1801
33.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2025
37.3 IPS |
