Generic
Geekbench AI Score
1075
Single Precision Score
609
Half Precision Score
1006
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | 44rtie |
| Upload Date | April 10 2025 09:05 PM |
| Views | 6 |
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
137.6 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.6 IPS |
|
|
Image Classification (Q)
|
96% |
817
152.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
545
8.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
402
6.51 IPS |
|
|
Image Segmentation (Q)
|
97% |
668
10.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1551
1.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1192
1.39 IPS |
|
|
Pose Estimation (Q)
|
86% |
1520
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
677
53.7 IPS |
|
|
Object Detection (HP)
|
100% |
306
24.3 IPS |
|
|
Object Detection (Q)
|
58% |
566
61.9 IPS |
|
|
Face Detection (SP)
|
100% |
1716
20.4 IPS |
|
|
Face Detection (HP)
|
100% |
752
8.94 IPS |
|
|
Face Detection (Q)
|
96% |
1630
19.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1935
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
958
7.38 IPS |
|
|
Depth Estimation (Q)
|
78% |
1772
14.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3672
4.72 IPS |
|
|
Style Transfer (HP)
|
100% |
3038
3.91 IPS |
|
|
Style Transfer (Q)
|
87% |
3223
4.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
766
28.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
671
24.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
798
29.6 IPS |
|
|
Text Classification (SP)
|
100% |
638
851.9 IPS |
|
|
Text Classification (HP)
|
100% |
351
468.9 IPS |
|
|
Text Classification (Q)
|
97% |
318
426.0 IPS |
|
|
Machine Translation (SP)
|
100% |
818
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
359
6.18 IPS |
|
|
Machine Translation (Q)
|
68% |
962
18.6 IPS |
