Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
4206
Single Precision Score
1753
Half Precision Score
5980
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 23 2025 09:53 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700F |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D48 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-E DDR4 (MS-7D48) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700F |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3401
632.5 IPS |
|
|
Image Classification (HP)
|
100% |
633
117.6 IPS |
|
|
Image Classification (Q)
|
99% |
6323
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2016
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
907
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2689
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6925
8.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
5589
6.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
25091
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
3043
241.4 IPS |
|
|
Object Detection (HP)
|
100% |
787
62.5 IPS |
|
|
Object Detection (Q)
|
86% |
5708
458.7 IPS |
|
|
Face Detection (SP)
|
100% |
6768
80.4 IPS |
|
|
Face Detection (HP)
|
100% |
1633
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
8147
97.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8943
68.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2389
18.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
16657
132.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17370
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13962
17.9 IPS |
|
|
Style Transfer (Q)
|
98% |
22736
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3108
114.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2686
99.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4885
180.9 IPS |
|
|
Text Classification (SP)
|
100% |
1632
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
859
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
503
674.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2252
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
866
14.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3168
63.6 IPS |
