Generic
Geekbench AI Score
1046
Single Precision Score
578
Half Precision Score
981
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | 44rtie |
| Upload Date | April 10 2025 08:51 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-2600K |
| 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 i7-2600K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
740
137.7 IPS |
|
|
Image Classification (HP)
|
100% |
260
48.4 IPS |
|
|
Image Classification (Q)
|
96% |
791
147.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
524
8.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
379
6.15 IPS |
|
|
Image Segmentation (Q)
|
97% |
665
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1484
1.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
1127
1.31 IPS |
|
|
Pose Estimation (Q)
|
86% |
1511
1.79 IPS |
|
|
Object Detection (SP)
|
100% |
711
56.4 IPS |
|
|
Object Detection (HP)
|
100% |
303
24.1 IPS |
|
|
Object Detection (Q)
|
58% |
515
56.2 IPS |
|
|
Face Detection (SP)
|
100% |
1620
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
614
7.30 IPS |
|
|
Face Detection (Q)
|
96% |
1596
19.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1820
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
901
6.94 IPS |
|
|
Depth Estimation (Q)
|
78% |
1691
13.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3633
4.67 IPS |
|
|
Style Transfer (HP)
|
100% |
2961
3.81 IPS |
|
|
Style Transfer (Q)
|
87% |
3185
4.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
693
25.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
647
23.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
772
28.6 IPS |
|
|
Text Classification (SP)
|
100% |
648
865.0 IPS |
|
|
Text Classification (HP)
|
100% |
330
440.7 IPS |
|
|
Text Classification (Q)
|
97% |
326
437.3 IPS |
|
|
Machine Translation (SP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
359
6.19 IPS |
|
|
Machine Translation (Q)
|
68% |
936
18.1 IPS |
