MSI MS-7A12
Geekbench AI Score
1574
Single Precision Score
855
Half Precision Score
2039
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ScottWirt |
| Upload Date | November 20 2025 04:19 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MSI MS-7A12 |
| Motherboard | MSI Z170A GAMING PRO CARBON (MS-7A12) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 4.01 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1113
207.1 IPS |
|
|
Image Classification (HP)
|
100% |
357
66.4 IPS |
|
|
Image Classification (Q)
|
96% |
1790
334.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
694
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
496
8.05 IPS |
|
|
Image Segmentation (Q)
|
97% |
1329
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2055
2.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1687
1.97 IPS |
|
|
Pose Estimation (Q)
|
86% |
3783
4.47 IPS |
|
|
Object Detection (SP)
|
100% |
929
73.7 IPS |
|
|
Object Detection (HP)
|
100% |
430
34.1 IPS |
|
|
Object Detection (Q)
|
58% |
1216
132.9 IPS |
|
|
Face Detection (SP)
|
100% |
2315
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
904
10.7 IPS |
|
|
Face Detection (Q)
|
96% |
3492
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3084
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1235
9.51 IPS |
|
|
Depth Estimation (Q)
|
78% |
4382
35.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6009
7.72 IPS |
|
|
Style Transfer (HP)
|
100% |
4463
5.74 IPS |
|
|
Style Transfer (Q)
|
87% |
7709
10.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1084
40.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
996
36.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1889
70.0 IPS |
|
|
Text Classification (SP)
|
100% |
1065
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
599
799.1 IPS |
|
|
Text Classification (Q)
|
97% |
346
463.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1278
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
553
9.53 IPS |
|
|
Machine Translation (Q)
|
68% |
1476
28.5 IPS |
