System manufacturer System Product Name
Geekbench AI Score
750
Single Precision Score
451
Half Precision Score
742
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| User | encod |
| Upload Date | July 31 2025 11:41 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-2600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. P8P67 PRO |
| Power Plan | Balanced |
| 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% |
526
97.8 IPS |
|
|
Image Classification (HP)
|
100% |
203
37.8 IPS |
|
|
Image Classification (Q)
|
96% |
414
77.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
390
6.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (Q)
|
97% |
630
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
990
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
842
0.98 IPS |
|
|
Pose Estimation (Q)
|
86% |
1122
1.33 IPS |
|
|
Object Detection (SP)
|
100% |
480
38.1 IPS |
|
|
Object Detection (HP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (Q)
|
58% |
421
46.0 IPS |
|
|
Face Detection (SP)
|
100% |
1178
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
543
6.45 IPS |
|
|
Face Detection (Q)
|
96% |
1149
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1161
8.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
614
4.73 IPS |
|
|
Depth Estimation (Q)
|
78% |
1207
9.60 IPS |
|
|
Style Transfer (SP)
|
100% |
2401
3.09 IPS |
|
|
Style Transfer (HP)
|
100% |
2216
2.85 IPS |
|
|
Style Transfer (Q)
|
87% |
2457
3.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
505
18.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
454
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
633
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
572
763.8 IPS |
|
|
Text Classification (HP)
|
100% |
276
367.9 IPS |
|
|
Text Classification (Q)
|
97% |
258
345.0 IPS |
|
|
Machine Translation (SP)
|
100% |
610
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
320
5.52 IPS |
|
|
Machine Translation (Q)
|
68% |
743
14.4 IPS |
