Micro-Star International Co., Ltd. MS-7C67
Geekbench AI Score
2587
Single Precision Score
1145
Half Precision Score
3806
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | July 21 2025 05:28 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9700F |
| 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% |
1507
280.2 IPS |
|
|
Image Classification (HP)
|
100% |
357
66.4 IPS |
|
|
Image Classification (Q)
|
96% |
2083
389.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
955
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
572
9.27 IPS |
|
|
Image Segmentation (Q)
|
97% |
3734
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4218
4.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3375
3.94 IPS |
|
|
Pose Estimation (Q)
|
86% |
8530
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
2046
162.3 IPS |
|
|
Object Detection (HP)
|
100% |
512
40.6 IPS |
|
|
Object Detection (Q)
|
58% |
2196
239.9 IPS |
|
|
Face Detection (SP)
|
100% |
2995
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
995
11.8 IPS |
|
|
Face Detection (Q)
|
96% |
5932
70.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6342
48.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1579
12.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
7956
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11774
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9048
11.6 IPS |
|
|
Style Transfer (Q)
|
87% |
11852
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1992
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1647
60.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3546
131.4 IPS |
|
|
Text Classification (SP)
|
100% |
1519
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1221
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1602
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (Q)
|
68% |
1812
35.0 IPS |
