Generic
Geekbench AI Score
606
Single Precision Score
339
Half Precision Score
487
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| Upload Date | January 12 2025 01:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-2500K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z68 Pro3 |
| Power Plan | Ausbalanciert |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
506
94.2 IPS |
|
|
Image Classification (HP)
|
100% |
195
36.2 IPS |
|
|
Image Classification (Q)
|
96% |
345
64.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
337
5.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
211
3.43 IPS |
|
|
Image Segmentation (Q)
|
97% |
420
6.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
861
1.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
656
0.77 IPS |
|
|
Pose Estimation (Q)
|
87% |
734
0.87 IPS |
|
|
Object Detection (SP)
|
100% |
335
26.6 IPS |
|
|
Object Detection (HP)
|
100% |
153
12.2 IPS |
|
|
Object Detection (Q)
|
90% |
274
21.9 IPS |
|
|
Face Detection (SP)
|
100% |
574
6.82 IPS |
|
|
Face Detection (HP)
|
100% |
362
4.30 IPS |
|
|
Face Detection (Q)
|
96% |
635
7.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
906
6.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
463
3.57 IPS |
|
|
Depth Estimation (Q)
|
78% |
641
5.12 IPS |
|
|
Style Transfer (SP)
|
100% |
2014
2.59 IPS |
|
|
Style Transfer (HP)
|
100% |
1678
2.16 IPS |
|
|
Style Transfer (Q)
|
87% |
1765
2.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
432
16.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
352
13.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
425
15.7 IPS |
|
|
Text Classification (SP)
|
100% |
528
704.2 IPS |
|
|
Text Classification (HP)
|
100% |
244
325.9 IPS |
|
|
Text Classification (Q)
|
97% |
349
468.0 IPS |
|
|
Machine Translation (SP)
|
100% |
577
9.94 IPS |
|
|
Machine Translation (HP)
|
100% |
204
3.51 IPS |
|
|
Machine Translation (Q)
|
60% |
242
5.39 IPS |
