Micro-Star International Co., Ltd. MS-7C67
Geekbench AI Score
2615
Single Precision Score
1195
Half Precision Score
4032
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 10 2025 02:33 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C67 |
| Motherboard | Micro-Star International Co., Ltd. MAG B365M MORTAR(MS-7C67) |
| Power Plan | Power saver |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2354
437.7 IPS |
|
|
Image Classification (HP)
|
100% |
415
77.2 IPS |
|
|
Image Classification (Q)
|
96% |
3483
650.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1089
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
582
9.44 IPS |
|
|
Image Segmentation (Q)
|
97% |
3912
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4342
5.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
4004
4.67 IPS |
|
|
Pose Estimation (Q)
|
86% |
9333
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
2045
162.2 IPS |
|
|
Object Detection (HP)
|
100% |
520
41.2 IPS |
|
|
Object Detection (Q)
|
58% |
2139
233.7 IPS |
|
|
Face Detection (SP)
|
100% |
2255
26.8 IPS |
|
|
Face Detection (HP)
|
100% |
1028
12.2 IPS |
|
|
Face Detection (Q)
|
96% |
5724
68.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6324
48.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1634
12.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
8022
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11028
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9324
12.0 IPS |
|
|
Style Transfer (Q)
|
87% |
12083
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1877
69.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1635
60.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3517
130.3 IPS |
|
|
Text Classification (SP)
|
100% |
1497
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
759
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1223
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1492
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (Q)
|
68% |
1752
33.9 IPS |
