Micro-Star International Co., Ltd. MS-7C67
Geekbench AI Score
3200
Single Precision Score
3217
Half Precision Score
4842
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | July 21 2025 06:18 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-9700F CPU @ 3.00GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C67 |
| Motherboard | Micro-Star International Co., Ltd. MAG B365M MORTAR(MS-7C67) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700F |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2004
372.7 IPS |
|
|
Image Classification (HP)
|
100% |
2208
410.6 IPS |
|
|
Image Classification (Q)
|
100% |
3722
692.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4052
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4602
5.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
4386
5.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
7656
8.98 IPS |
|
|
Object Detection (SP)
|
100% |
1700
134.9 IPS |
|
|
Object Detection (HP)
|
100% |
1984
157.4 IPS |
|
|
Object Detection (Q)
|
87% |
2783
223.2 IPS |
|
|
Face Detection (SP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
3189
37.9 IPS |
|
|
Face Detection (Q)
|
97% |
8419
100.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6175
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5863
45.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
10311
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11411
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11794
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
23676
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2185
80.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2414
89.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4789
177.4 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2447
3.27 KIPS |
|
|
Text Classification (Q)
|
91% |
820
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2885
49.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2604
44.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2736
47.1 IPS |
