Generic
Geekbench AI Score
1838
Single Precision Score
953
Half Precision Score
1909
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Zerofckerx |
| Upload Date | November 10 2025 08:07 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4690K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z97 Extreme4 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4690K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1409
262.1 IPS |
|
|
Image Classification (HP)
|
100% |
381
70.8 IPS |
|
|
Image Classification (Q)
|
96% |
1548
289.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
757
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
543
8.80 IPS |
|
|
Image Segmentation (Q)
|
97% |
1488
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3133
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2497
2.91 IPS |
|
|
Pose Estimation (Q)
|
86% |
3370
3.98 IPS |
|
|
Object Detection (SP)
|
100% |
1308
103.7 IPS |
|
|
Object Detection (HP)
|
100% |
462
36.6 IPS |
|
|
Object Detection (Q)
|
58% |
1070
117.0 IPS |
|
|
Face Detection (SP)
|
100% |
2303
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
914
10.9 IPS |
|
|
Face Detection (Q)
|
96% |
3245
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3774
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1351
10.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
3787
30.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6882
8.85 IPS |
|
|
Style Transfer (HP)
|
100% |
5748
7.39 IPS |
|
|
Style Transfer (Q)
|
87% |
6638
8.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1150
42.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1171
43.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1759
65.2 IPS |
|
|
Text Classification (SP)
|
100% |
1249
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
611
815.6 IPS |
|
|
Text Classification (Q)
|
97% |
411
550.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1175
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
510
8.79 IPS |
|
|
Machine Translation (Q)
|
68% |
1319
25.5 IPS |
