MCJ_Unitcom/I81 Z170-S01
Geekbench AI Score
1824
Single Precision Score
847
Half Precision Score
2373
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 01:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MCJ_Unitcom/I81 Z170-S01 |
| Motherboard | MouseComputer Co.,Ltd. Z170-S01 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1410
262.2 IPS |
|
|
Image Classification (HP)
|
100% |
321
59.8 IPS |
|
|
Image Classification (Q)
|
96% |
1944
363.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
744
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
480
7.79 IPS |
|
|
Image Segmentation (Q)
|
97% |
1354
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2603
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2145
2.50 IPS |
|
|
Pose Estimation (Q)
|
86% |
4624
5.47 IPS |
|
|
Object Detection (SP)
|
100% |
1303
103.4 IPS |
|
|
Object Detection (HP)
|
100% |
403
31.9 IPS |
|
|
Object Detection (Q)
|
58% |
1418
154.9 IPS |
|
|
Face Detection (SP)
|
100% |
2400
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
881
10.5 IPS |
|
|
Face Detection (Q)
|
96% |
3619
43.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3659
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1147
8.84 IPS |
|
|
Depth Estimation (Q)
|
78% |
4694
37.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6847
8.80 IPS |
|
|
Style Transfer (HP)
|
100% |
5110
6.57 IPS |
|
|
Style Transfer (Q)
|
87% |
8134
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1266
46.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1087
40.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1664
61.6 IPS |
|
|
Text Classification (SP)
|
100% |
1079
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
522
696.7 IPS |
|
|
Text Classification (Q)
|
97% |
938
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1395
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
488
8.40 IPS |
|
|
Machine Translation (Q)
|
68% |
1523
29.4 IPS |
