Generic
Geekbench ML Score
1706
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 15 2025 10:43 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X399 Phantom Gaming 6 |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 1920X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 64.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 512 KB x 12 |
| L3 Cache | 8.00 MB x 4 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
823
154.0 IPS |
|
|
Image Classification (F16)
|
100% |
826
154.6 IPS |
|
|
Image Classification (I8)
|
97% |
1176
220.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
622
10.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
622
10.4 IPS |
|
|
Image Segmentation (I8)
|
97% |
1297
21.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
4383
5.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
4388
5.31 IPS |
|
|
Pose Estimation (I8)
|
100% |
4107
4.97 IPS |
|
|
Object Detection (F32)
|
100% |
909
67.9 IPS |
|
|
Object Detection (F16)
|
100% |
918
68.5 IPS |
|
|
Object Detection (I8)
|
60% |
734
54.8 IPS |
|
|
Face Detection (F32)
|
100% |
1763
21.0 IPS |
|
|
Face Detection (F16)
|
100% |
1766
21.0 IPS |
|
|
Face Detection (I8)
|
87% |
2347
27.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4125
32.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
4138
32.1 IPS |
|
|
Depth Estimation (I8)
|
74% |
4301
33.4 IPS |
|
|
Style Transfer (F32)
|
100% |
9873
13.0 IPS |
|
|
Style Transfer (F16)
|
100% |
9906
13.0 IPS |
|
|
Style Transfer (I8)
|
85% |
9006
11.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1553
55.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1561
55.7 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1363
48.7 IPS |
|
|
Text Classification (F32)
|
100% |
594
853.4 IPS |
|
|
Text Classification (F16)
|
100% |
583
837.5 IPS |
|
|
Text Classification (I8)
|
94% |
470
676.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1124
20.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1113
20.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1490
27.4 IPS |
