Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
2410
Single Precision Score
3309
Half Precision Score
5214
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 12:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK WIFI DDR4 (MS-7D91) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1505
279.8 IPS |
|
|
Image Classification (HP)
|
100% |
2559
475.9 IPS |
|
|
Image Classification (Q)
|
99% |
3916
730.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2284
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3715
60.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4432
71.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4088
4.77 IPS |
|
|
Pose Estimation (HP)
|
99% |
2984
3.48 IPS |
|
|
Pose Estimation (Q)
|
97% |
12254
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1378
109.3 IPS |
|
|
Object Detection (HP)
|
98% |
2201
175.1 IPS |
|
|
Object Detection (Q)
|
90% |
4157
332.3 IPS |
|
|
Face Detection (SP)
|
100% |
4524
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
7236
86.0 IPS |
|
|
Face Detection (Q)
|
100% |
9881
117.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4827
37.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8022
62.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
10913
84.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10591
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16633
21.4 IPS |
|
|
Style Transfer (Q)
|
98% |
28042
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1906
70.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3121
115.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6442
238.6 IPS |
|
|
Text Classification (SP)
|
71% |
730
1.06 KIPS |
|
|
Text Classification (HP)
|
71% |
766
1.11 KIPS |
|
|
Text Classification (Q)
|
92% |
790
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1064
18.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1093
18.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1092
18.8 IPS |
