Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
5971
Single Precision Score
6035
Half Precision Score
14145
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ManicSeaMonkey |
| Upload Date | September 23 2024 09:06 AM |
| Views | 4 |
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. 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% |
4367
812.1 IPS |
|
|
Image Classification (HP)
|
100% |
4283
796.5 IPS |
|
|
Image Classification (Q)
|
100% |
9040
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3328
54.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3574
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6767
109.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8296
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
8177
9.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
32003
37.5 IPS |
|
|
Object Detection (SP)
|
100% |
3824
303.3 IPS |
|
|
Object Detection (HP)
|
100% |
3885
308.2 IPS |
|
|
Object Detection (Q)
|
88% |
9595
769.2 IPS |
|
|
Face Detection (SP)
|
100% |
12161
144.5 IPS |
|
|
Face Detection (HP)
|
100% |
11747
139.6 IPS |
|
|
Face Detection (Q)
|
100% |
24344
289.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10936
84.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10935
84.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
25887
201.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25830
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25174
32.4 IPS |
|
|
Style Transfer (Q)
|
98% |
86683
111.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5166
190.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5434
200.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16318
604.3 IPS |
|
|
Text Classification (SP)
|
100% |
1681
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1662
2.22 KIPS |
|
|
Text Classification (Q)
|
92% |
4575
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4192
72.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4516
77.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4188
72.1 IPS |
