Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
2923
Single Precision Score
1364
Half Precision Score
5997
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 02 2025 11:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D48 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-E DDR4 (MS-7D48) |
| Power Plan | Ultimative Leistung |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700F |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2515
467.7 IPS |
|
|
Image Classification (HP)
|
100% |
474
88.2 IPS |
|
|
Image Classification (Q)
|
99% |
5971
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1200
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
897
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6983
113.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6214
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
4035
4.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
20751
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
1878
149.0 IPS |
|
|
Object Detection (HP)
|
100% |
638
50.6 IPS |
|
|
Object Detection (Q)
|
86% |
5475
440.0 IPS |
|
|
Face Detection (SP)
|
100% |
2946
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
1109
13.2 IPS |
|
|
Face Detection (Q)
|
97% |
7133
85.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6712
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1907
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
11005
87.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12585
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9992
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
9023
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2570
94.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1878
69.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5512
204.1 IPS |
|
|
Text Classification (SP)
|
100% |
1597
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
799
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1440
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2262
45.5 IPS |
