Generic
Geekbench AI Score
1544
Single Precision Score
755
Half Precision Score
1783
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Geek9 |
| Upload Date | July 01 2025 10:23 AM |
| Views | 3 |
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% |
1189
221.1 IPS |
|
|
Image Classification (HP)
|
100% |
307
57.0 IPS |
|
|
Image Classification (Q)
|
96% |
1381
258.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
702
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
412
6.68 IPS |
|
|
Image Segmentation (Q)
|
97% |
1797
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2445
2.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
1772
2.07 IPS |
|
|
Pose Estimation (Q)
|
86% |
2671
3.16 IPS |
|
|
Object Detection (SP)
|
100% |
1182
93.7 IPS |
|
|
Object Detection (HP)
|
100% |
367
29.1 IPS |
|
|
Object Detection (Q)
|
58% |
971
106.0 IPS |
|
|
Face Detection (SP)
|
100% |
2516
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
809
9.61 IPS |
|
|
Face Detection (Q)
|
96% |
3368
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2977
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1123
8.66 IPS |
|
|
Depth Estimation (Q)
|
78% |
3138
25.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5987
7.70 IPS |
|
|
Style Transfer (HP)
|
100% |
4842
6.22 IPS |
|
|
Style Transfer (Q)
|
87% |
6026
7.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
940
34.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
889
32.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1182
43.8 IPS |
|
|
Text Classification (SP)
|
100% |
756
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
373
497.3 IPS |
|
|
Text Classification (Q)
|
97% |
607
812.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
507
8.73 IPS |
|
|
Machine Translation (Q)
|
68% |
1110
21.4 IPS |
