Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
24217
Single Precision Score
49366
Half Precision Score
51997
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | oneilldp |
| Upload Date | August 16 2025 12:38 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B580 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK WIFI (MS-7D91) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12720
2.37 KIPS |
|
|
Image Classification (HP)
|
100% |
26121
4.86 KIPS |
|
|
Image Classification (Q)
|
100% |
29621
5.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22823
370.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
37228
603.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
38267
620.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
83565
97.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
349564
407.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
646014
756.3 IPS |
|
|
Object Detection (SP)
|
100% |
10308
817.6 IPS |
|
|
Object Detection (HP)
|
100% |
26988
2.14 KIPS |
|
|
Object Detection (Q)
|
88% |
22621
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
27418
325.8 IPS |
|
|
Face Detection (HP)
|
100% |
52437
623.1 IPS |
|
|
Face Detection (Q)
|
100% |
55587
660.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
61148
471.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
136408
1.05 KIPS |
|
|
Depth Estimation (Q)
|
89% |
161427
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
184641
237.4 IPS |
|
|
Style Transfer (HP)
|
100% |
589228
757.5 IPS |
|
|
Style Transfer (Q)
|
98% |
637995
822.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33106
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76591
2.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
74879
2.77 KIPS |
|
|
Text Classification (SP)
|
100% |
5763
7.69 KIPS |
|
|
Text Classification (HP)
|
100% |
5462
7.29 KIPS |
|
|
Text Classification (Q)
|
92% |
3814
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4698
80.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5315
91.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5335
91.9 IPS |
