Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
6276
Single Precision Score
6245
Half Precision Score
14513
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 09:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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. MPG Z790 EDGE 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4234
787.4 IPS |
|
|
Image Classification (HP)
|
100% |
4312
801.9 IPS |
|
|
Image Classification (Q)
|
100% |
9506
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5737
93.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5739
93.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10306
167.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8452
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
8605
10.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23779
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2748
218.0 IPS |
|
|
Object Detection (HP)
|
100% |
2740
217.3 IPS |
|
|
Object Detection (Q)
|
88% |
10219
819.2 IPS |
|
|
Face Detection (SP)
|
100% |
8116
96.4 IPS |
|
|
Face Detection (HP)
|
100% |
8052
95.7 IPS |
|
|
Face Detection (Q)
|
100% |
23410
278.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7432
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6817
52.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
18383
143.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25856
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25829
33.2 IPS |
|
|
Style Transfer (Q)
|
98% |
86689
111.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5224
192.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5342
197.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16274
602.7 IPS |
|
|
Text Classification (SP)
|
100% |
3867
5.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3864
5.16 KIPS |
|
|
Text Classification (Q)
|
92% |
5473
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5339
92.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5292
91.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5242
90.3 IPS |
