System manufacturer System Product Name
Geekbench AI Score
1334
Single Precision Score
744
Half Precision Score
1324
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| User | W4RH34D |
| Upload Date | October 30 2025 09:11 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-2600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. Maximus IV Extreme |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1001
186.1 IPS |
|
|
Image Classification (HP)
|
100% |
325
60.5 IPS |
|
|
Image Classification (Q)
|
96% |
935
174.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
560
9.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
449
7.29 IPS |
|
|
Image Segmentation (Q)
|
97% |
1183
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1873
2.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1463
1.71 IPS |
|
|
Pose Estimation (Q)
|
86% |
1793
2.12 IPS |
|
|
Object Detection (SP)
|
100% |
951
75.4 IPS |
|
|
Object Detection (HP)
|
100% |
375
29.7 IPS |
|
|
Object Detection (Q)
|
58% |
700
76.5 IPS |
|
|
Face Detection (SP)
|
100% |
1820
21.6 IPS |
|
|
Face Detection (HP)
|
100% |
832
9.88 IPS |
|
|
Face Detection (Q)
|
96% |
1877
22.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2445
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1122
8.65 IPS |
|
|
Depth Estimation (Q)
|
78% |
2004
15.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4548
5.85 IPS |
|
|
Style Transfer (HP)
|
100% |
3804
4.89 IPS |
|
|
Style Transfer (Q)
|
87% |
3485
4.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
926
34.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
826
30.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1030
38.2 IPS |
|
|
Text Classification (SP)
|
100% |
959
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
469
626.1 IPS |
|
|
Text Classification (Q)
|
97% |
760
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
997
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
477
8.21 IPS |
|
|
Machine Translation (Q)
|
68% |
1170
22.6 IPS |
