Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
4734
Single Precision Score
1670
Half Precision Score
5825
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows AVX2
Result Information
| Upload Date | January 04 2026 10:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK WIFI (MS-7D91) |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2779
516.8 IPS |
|
|
Image Classification (HP)
|
100% |
589
109.5 IPS |
|
|
Image Classification (Q)
|
99% |
4306
803.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2355
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1116
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3888
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10518
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4926
5.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
32646
38.3 IPS |
|
|
Object Detection (SP)
|
100% |
3022
239.7 IPS |
|
|
Object Detection (HP)
|
100% |
742
58.9 IPS |
|
|
Object Detection (Q)
|
88% |
2330
186.8 IPS |
|
|
Face Detection (SP)
|
100% |
5360
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
1779
21.1 IPS |
|
|
Face Detection (Q)
|
97% |
5320
63.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10965
84.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2344
18.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
10224
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25198
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12340
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
28357
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4237
156.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2363
87.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5234
193.8 IPS |
|
|
Text Classification (SP)
|
100% |
1900
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
741
989.3 IPS |
|
|
Text Classification (Q)
|
97% |
1614
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2280
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2711
60.5 IPS |
