Generic
Geekbench AI Score
1348
Single Precision Score
715
Half Precision Score
1097
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | April 13 2025 04:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-2500K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock P67 Performance |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-2500K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
947
176.2 IPS |
|
|
Image Classification (HP)
|
100% |
305
56.8 IPS |
|
|
Image Classification (Q)
|
96% |
874
163.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
419
6.79 IPS |
|
|
Image Segmentation (Q)
|
97% |
709
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2036
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1568
1.83 IPS |
|
|
Pose Estimation (Q)
|
86% |
1745
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
860
68.2 IPS |
|
|
Object Detection (HP)
|
100% |
356
28.2 IPS |
|
|
Object Detection (Q)
|
58% |
628
68.6 IPS |
|
|
Face Detection (SP)
|
100% |
1939
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
820
9.74 IPS |
|
|
Face Detection (Q)
|
96% |
1877
22.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2481
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1086
8.37 IPS |
|
|
Depth Estimation (Q)
|
78% |
1922
15.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4750
6.11 IPS |
|
|
Style Transfer (HP)
|
100% |
3956
5.09 IPS |
|
|
Style Transfer (Q)
|
87% |
3565
4.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
968
35.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
854
31.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
884
32.8 IPS |
|
|
Text Classification (SP)
|
100% |
834
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
417
556.6 IPS |
|
|
Text Classification (Q)
|
97% |
371
497.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1019
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
391
6.73 IPS |
|
|
Machine Translation (Q)
|
68% |
887
17.1 IPS |
