Generic
Geekbench AI Score
1153
Single Precision Score
658
Half Precision Score
1236
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 08:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 2700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X470 Master SLI |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 2700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
668
124.2 IPS |
|
|
Image Classification (HP)
|
100% |
253
47.0 IPS |
|
|
Image Classification (Q)
|
96% |
982
183.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
509
8.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
363
5.88 IPS |
|
|
Image Segmentation (Q)
|
97% |
941
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1928
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1658
1.93 IPS |
|
|
Pose Estimation (Q)
|
87% |
2589
3.06 IPS |
|
|
Object Detection (SP)
|
100% |
722
57.3 IPS |
|
|
Object Detection (HP)
|
100% |
307
24.4 IPS |
|
|
Object Detection (Q)
|
86% |
656
52.7 IPS |
|
|
Face Detection (SP)
|
100% |
1410
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
760
9.03 IPS |
|
|
Face Detection (Q)
|
96% |
1857
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2321
17.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1037
7.99 IPS |
|
|
Depth Estimation (Q)
|
77% |
2140
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5095
6.55 IPS |
|
|
Style Transfer (HP)
|
100% |
4432
5.70 IPS |
|
|
Style Transfer (Q)
|
87% |
5962
7.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
833
30.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
800
29.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
999
37.0 IPS |
|
|
Text Classification (SP)
|
100% |
721
962.2 IPS |
|
|
Text Classification (HP)
|
100% |
324
432.9 IPS |
|
|
Text Classification (Q)
|
97% |
266
356.1 IPS |
|
|
Machine Translation (SP)
|
100% |
878
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
361
6.23 IPS |
|
|
Machine Translation (Q)
|
60% |
846
18.9 IPS |
