Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
5239
Single Precision Score
1818
Half Precision Score
8411
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | oneilldp |
| Upload Date | April 25 2025 07:15 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700K |
| 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% |
4118
765.8 IPS |
|
|
Image Classification (HP)
|
100% |
668
124.2 IPS |
|
|
Image Classification (Q)
|
99% |
7240
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2263
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1168
18.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4001
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8994
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4894
5.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
31829
37.3 IPS |
|
|
Object Detection (SP)
|
100% |
3928
311.5 IPS |
|
|
Object Detection (HP)
|
100% |
877
69.6 IPS |
|
|
Object Detection (Q)
|
86% |
7620
612.4 IPS |
|
|
Face Detection (SP)
|
100% |
10811
128.5 IPS |
|
|
Face Detection (HP)
|
100% |
2005
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
11933
142.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11344
87.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2455
18.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
18278
145.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21100
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11877
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26992
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3705
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2425
89.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5583
206.7 IPS |
|
|
Text Classification (SP)
|
100% |
1925
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
893
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1874
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2567
44.2 IPS |
|
|
Machine Translation (HP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4095
82.3 IPS |
