Micro-Star International Co., Ltd. MS-7D97
Geekbench AI Score
4513
Single Precision Score
1849
Half Precision Score
6603
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | KAZAMIDORI |
| Upload Date | March 30 2025 01:20 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D97 |
| Motherboard | Micro-Star International Co., Ltd. MAG B660M MORTAR MAX WIFI DDR4 (MS-7D97) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600KF |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3315
616.5 IPS |
|
|
Image Classification (HP)
|
100% |
689
128.1 IPS |
|
|
Image Classification (Q)
|
99% |
6514
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3136
51.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7506
8.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
5019
5.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
24379
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
3255
258.2 IPS |
|
|
Object Detection (HP)
|
100% |
865
68.6 IPS |
|
|
Object Detection (Q)
|
86% |
6104
490.6 IPS |
|
|
Face Detection (SP)
|
100% |
7458
88.6 IPS |
|
|
Face Detection (HP)
|
100% |
2026
24.1 IPS |
|
|
Face Detection (Q)
|
97% |
10272
122.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9425
72.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2616
20.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
16739
133.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17324
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12067
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
25206
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3166
116.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2364
87.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5106
189.1 IPS |
|
|
Text Classification (SP)
|
100% |
1942
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
907
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
691
926.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2723
46.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3393
68.2 IPS |
