Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
2641
Single Precision Score
3778
Half Precision Score
5918
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | defogger |
| Upload Date | October 29 2025 09:37 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK WIFI DDR4 (MS-7D91) |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1749
325.3 IPS |
|
|
Image Classification (HP)
|
100% |
2865
532.9 IPS |
|
|
Image Classification (Q)
|
99% |
4302
802.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2529
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4137
67.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4839
78.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4501
5.25 IPS |
|
|
Pose Estimation (HP)
|
99% |
3280
3.83 IPS |
|
|
Pose Estimation (Q)
|
97% |
13479
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
98% |
2548
202.7 IPS |
|
|
Object Detection (Q)
|
90% |
4761
380.6 IPS |
|
|
Face Detection (SP)
|
100% |
5096
60.6 IPS |
|
|
Face Detection (HP)
|
100% |
8327
98.9 IPS |
|
|
Face Detection (Q)
|
100% |
10990
130.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5283
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8980
69.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
12343
96.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11660
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18340
23.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31115
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2135
78.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3469
128.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7140
264.4 IPS |
|
|
Text Classification (SP)
|
71% |
734
1.06 KIPS |
|
|
Text Classification (HP)
|
71% |
785
1.14 KIPS |
|
|
Text Classification (Q)
|
92% |
810
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1087
18.7 IPS |
|
|
Machine Translation (HP)
|
98% |
1603
27.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1617
27.8 IPS |
