Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
5377
Single Precision Score
1946
Half Precision Score
8880
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | chrixmix |
| Upload Date | August 22 2025 03:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A WIFI DDR4(MS-7D25) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4414
820.8 IPS |
|
|
Image Classification (HP)
|
100% |
686
127.5 IPS |
|
|
Image Classification (Q)
|
99% |
7088
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2405
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1317
21.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
11335
184.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9028
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4949
5.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
29489
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
4042
320.6 IPS |
|
|
Object Detection (HP)
|
100% |
982
77.9 IPS |
|
|
Object Detection (Q)
|
86% |
7637
613.8 IPS |
|
|
Face Detection (SP)
|
100% |
9519
113.1 IPS |
|
|
Face Detection (HP)
|
100% |
1976
23.5 IPS |
|
|
Face Detection (Q)
|
97% |
11472
136.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11279
86.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2768
21.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
18408
146.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21083
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12299
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
28455
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4038
149.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2445
90.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7034
260.4 IPS |
|
|
Text Classification (SP)
|
100% |
2004
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
987
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1170
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2850
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1093
18.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3411
68.5 IPS |
