System manufacturer System Product Name
Geekbench AI Score
2172
Single Precision Score
1059
Half Precision Score
3093
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 03:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Z170 PRO GAMING |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7600K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1666
309.7 IPS |
|
|
Image Classification (HP)
|
100% |
393
73.1 IPS |
|
|
Image Classification (Q)
|
96% |
2366
441.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
827
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
579
9.39 IPS |
|
|
Image Segmentation (Q)
|
97% |
2854
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3591
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2870
3.35 IPS |
|
|
Pose Estimation (Q)
|
86% |
6071
7.18 IPS |
|
|
Object Detection (SP)
|
100% |
1539
122.0 IPS |
|
|
Object Detection (HP)
|
100% |
501
39.7 IPS |
|
|
Object Detection (Q)
|
58% |
1475
161.2 IPS |
|
|
Face Detection (SP)
|
100% |
2511
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
1000
11.9 IPS |
|
|
Face Detection (Q)
|
96% |
4623
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4336
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1454
11.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
5736
45.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8202
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6375
8.20 IPS |
|
|
Style Transfer (Q)
|
87% |
9560
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1583
58.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1344
49.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2683
99.4 IPS |
|
|
Text Classification (SP)
|
100% |
1360
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
723
965.1 IPS |
|
|
Text Classification (Q)
|
97% |
1153
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1598
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
605
10.4 IPS |
|
|
Machine Translation (Q)
|
68% |
1691
32.7 IPS |
