Generic
Geekbench AI Score
1158
Single Precision Score
668
Half Precision Score
1238
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 01:33 PM |
| Views | 1 |
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 Gaming K4 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
709
131.8 IPS |
|
|
Image Classification (HP)
|
100% |
254
47.2 IPS |
|
|
Image Classification (Q)
|
96% |
1030
192.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
453
7.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
385
6.24 IPS |
|
|
Image Segmentation (Q)
|
97% |
1028
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2173
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
1731
2.02 IPS |
|
|
Pose Estimation (Q)
|
87% |
2413
2.85 IPS |
|
|
Object Detection (SP)
|
100% |
671
53.2 IPS |
|
|
Object Detection (HP)
|
100% |
287
22.8 IPS |
|
|
Object Detection (Q)
|
86% |
614
49.4 IPS |
|
|
Face Detection (SP)
|
100% |
1318
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
710
8.43 IPS |
|
|
Face Detection (Q)
|
96% |
1684
20.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2299
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1136
8.75 IPS |
|
|
Depth Estimation (Q)
|
77% |
2248
18.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6274
8.07 IPS |
|
|
Style Transfer (HP)
|
100% |
4877
6.27 IPS |
|
|
Style Transfer (Q)
|
87% |
5840
7.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
800
29.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
742
27.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1038
38.4 IPS |
|
|
Text Classification (SP)
|
100% |
623
831.9 IPS |
|
|
Text Classification (HP)
|
100% |
329
439.6 IPS |
|
|
Text Classification (Q)
|
97% |
263
352.9 IPS |
|
|
Machine Translation (SP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
380
6.55 IPS |
|
|
Machine Translation (Q)
|
60% |
899
20.0 IPS |
