To be filled by O.E.M. To be filled by O.E.M.
Geekbench ML Score
357
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows x86 (64-bit)
Result Information
| Upload Date | April 22 2024 08:43 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | To be filled by O.E.M. To be filled by O.E.M. |
| Motherboard | ASUSTeK COMPUTER INC. SABERTOOTH 990FX R2.0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Phenom II X6 1090T Black Edition |
| Topology | 1 Processor, 6 Cores |
| Identifier | AuthenticAMD Family 16 Model 10 Stepping 0 |
| Base Frequency | 3.21 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 64.0 KB x 6 |
| L1 Data Cache | 64.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 6.00 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% |
179
33.6 IPS |
|
|
Image Classification (F16)
|
100% |
179
33.5 IPS |
|
|
Image Classification (I8)
|
99% |
204
38.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
127
2.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
132
2.21 IPS |
|
|
Image Segmentation (I8)
|
98% |
264
4.42 IPS |
|
|
Pose Estimation (F32)
|
100% |
609
0.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
629
0.76 IPS |
|
|
Pose Estimation (I8)
|
100% |
702
0.85 IPS |
|
|
Object Detection (F32)
|
100% |
178
13.3 IPS |
|
|
Object Detection (F16)
|
100% |
174
13.0 IPS |
|
|
Object Detection (I8)
|
70% |
209
15.6 IPS |
|
|
Face Detection (F32)
|
100% |
459
5.46 IPS |
|
|
Face Detection (F16)
|
100% |
465
5.53 IPS |
|
|
Face Detection (I8)
|
89% |
600
7.13 IPS |
|
|
Depth Estimation (F32)
|
100% |
698
5.42 IPS |
|
|
Depth Estimation (F16)
|
100% |
703
5.45 IPS |
|
|
Depth Estimation (I8)
|
96% |
712
5.52 IPS |
|
|
Style Transfer (F32)
|
100% |
1563
2.06 IPS |
|
|
Style Transfer (F16)
|
100% |
1576
2.07 IPS |
|
|
Style Transfer (I8)
|
98% |
1401
1.84 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
320
11.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
334
11.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
344
12.3 IPS |
|
|
Text Classification (F32)
|
100% |
235
338.2 IPS |
|
|
Text Classification (F16)
|
100% |
239
343.7 IPS |
|
|
Text Classification (I8)
|
98% |
118
170.0 IPS |
|
|
Machine Translation (F32)
|
100% |
288
5.31 IPS |
|
|
Machine Translation (F16)
|
100% |
286
5.27 IPS |
|
|
Machine Translation (I8)
|
67% |
245
4.51 IPS |
