Generic
Geekbench AI Score
1228
Single Precision Score
665
Half Precision Score
1021
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | 44rtie |
| Upload Date | March 17 2025 08:58 PM |
| Views | 3 |
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 Z68 Extreme4 Gen3 |
| Power Plan | High performance |
| 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% |
911
169.4 IPS |
|
|
Image Classification (HP)
|
100% |
288
53.6 IPS |
|
|
Image Classification (Q)
|
96% |
833
155.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
549
8.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
403
6.54 IPS |
|
|
Image Segmentation (Q)
|
97% |
661
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1863
2.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1436
1.68 IPS |
|
|
Pose Estimation (Q)
|
86% |
1585
1.87 IPS |
|
|
Object Detection (SP)
|
100% |
851
67.5 IPS |
|
|
Object Detection (HP)
|
100% |
340
27.0 IPS |
|
|
Object Detection (Q)
|
58% |
593
64.8 IPS |
|
|
Face Detection (SP)
|
100% |
1703
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
756
8.99 IPS |
|
|
Face Detection (Q)
|
96% |
1661
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2266
17.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1013
7.80 IPS |
|
|
Depth Estimation (Q)
|
78% |
1758
14.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4320
5.55 IPS |
|
|
Style Transfer (HP)
|
100% |
3618
4.65 IPS |
|
|
Style Transfer (Q)
|
87% |
3169
4.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
859
31.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
761
28.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
821
30.4 IPS |
|
|
Text Classification (SP)
|
100% |
783
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
381
508.1 IPS |
|
|
Text Classification (Q)
|
97% |
347
464.6 IPS |
|
|
Machine Translation (SP)
|
100% |
880
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
377
6.50 IPS |
|
|
Machine Translation (Q)
|
68% |
903
17.5 IPS |
