Micro-Star International Co., Ltd. MS-7D96
Geekbench AI Score
4516
Single Precision Score
1736
Half Precision Score
8562
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Birkin |
| Upload Date | February 28 2026 07:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D96 |
| Motherboard | Micro-Star International Co., Ltd. MAG B760 TOMAHAWK WIFI (MS-7D96) |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3552
660.6 IPS |
|
|
Image Classification (HP)
|
100% |
627
116.6 IPS |
|
|
Image Classification (Q)
|
99% |
6596
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2055
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9786
159.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7270
8.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
4569
5.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
25310
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
3372
267.5 IPS |
|
|
Object Detection (HP)
|
100% |
778
61.7 IPS |
|
|
Object Detection (Q)
|
86% |
7018
564.0 IPS |
|
|
Face Detection (SP)
|
100% |
9668
114.9 IPS |
|
|
Face Detection (HP)
|
100% |
1977
23.5 IPS |
|
|
Face Detection (Q)
|
97% |
10875
129.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9576
73.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2332
18.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
17002
135.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16747
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10834
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
27933
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3022
111.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2125
78.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5996
222.0 IPS |
|
|
Text Classification (SP)
|
100% |
1805
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
782
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1670
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2335
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3573
71.8 IPS |
