System manufacturer System Product Name
Geekbench AI Score
1081
Single Precision Score
590
Half Precision Score
865
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | zikkzakk |
| Upload Date | December 16 2024 08:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-2500K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. P8P67-M |
| Power Plan | Hchstleistung |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
772
143.6 IPS |
|
|
Image Classification (HP)
|
100% |
251
46.7 IPS |
|
|
Image Classification (Q)
|
96% |
713
133.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
457
7.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
358
5.80 IPS |
|
|
Image Segmentation (Q)
|
97% |
540
8.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
1657
1.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1273
1.49 IPS |
|
|
Pose Estimation (Q)
|
86% |
1423
1.68 IPS |
|
|
Object Detection (SP)
|
100% |
739
58.6 IPS |
|
|
Object Detection (HP)
|
100% |
301
23.9 IPS |
|
|
Object Detection (Q)
|
58% |
529
57.8 IPS |
|
|
Face Detection (SP)
|
100% |
1505
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
669
7.95 IPS |
|
|
Face Detection (Q)
|
96% |
1459
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2000
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
904
6.96 IPS |
|
|
Depth Estimation (Q)
|
78% |
1579
12.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3878
4.99 IPS |
|
|
Style Transfer (HP)
|
100% |
3258
4.19 IPS |
|
|
Style Transfer (Q)
|
87% |
2862
3.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
781
28.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
669
24.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
734
27.2 IPS |
|
|
Text Classification (SP)
|
100% |
691
921.8 IPS |
|
|
Text Classification (HP)
|
100% |
339
452.1 IPS |
|
|
Text Classification (Q)
|
97% |
293
392.8 IPS |
|
|
Machine Translation (SP)
|
100% |
801
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (Q)
|
68% |
571
11.0 IPS |
