Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
22034
Single Precision Score
35477
Half Precision Score
14432
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | oneilldp |
| Upload Date | August 16 2025 12:30 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 Graphics |
| 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% |
10647
1.98 KIPS |
|
|
Image Classification (HP)
|
100% |
13938
2.59 KIPS |
|
|
Image Classification (Q)
|
100% |
8084
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16625
269.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21135
342.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
12427
202.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
78305
91.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
332432
387.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
64137
75.1 IPS |
|
|
Object Detection (SP)
|
100% |
13388
1.06 KIPS |
|
|
Object Detection (HP)
|
100% |
17546
1.39 KIPS |
|
|
Object Detection (Q)
|
87% |
10167
816.0 IPS |
|
|
Face Detection (SP)
|
100% |
30453
361.8 IPS |
|
|
Face Detection (HP)
|
100% |
41633
494.7 IPS |
|
|
Face Detection (Q)
|
97% |
20677
246.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
64088
493.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
101840
784.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
36096
289.3 IPS |
|
|
Style Transfer (SP)
|
100% |
195816
251.7 IPS |
|
|
Style Transfer (HP)
|
100% |
546623
702.7 IPS |
|
|
Style Transfer (Q)
|
98% |
130641
168.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31061
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55846
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16118
596.8 IPS |
|
|
Text Classification (SP)
|
100% |
3149
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
3566
4.76 KIPS |
|
|
Text Classification (Q)
|
97% |
1874
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3889
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3983
68.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2033
38.1 IPS |
