Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
4214
Single Precision Score
1650
Half Precision Score
5181
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TheMatrix2025 |
| Upload Date | September 30 2024 11:22 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
2465
458.4 IPS |
|
|
Image Classification (HP)
|
100% |
579
107.7 IPS |
|
|
Image Classification (Q)
|
99% |
4422
824.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2045
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1170
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3527
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8966
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4968
5.80 IPS |
|
|
Pose Estimation (Q)
|
95% |
29922
35.1 IPS |
|
|
Object Detection (SP)
|
100% |
2729
216.4 IPS |
|
|
Object Detection (HP)
|
100% |
750
59.5 IPS |
|
|
Object Detection (Q)
|
88% |
2478
198.6 IPS |
|
|
Face Detection (SP)
|
100% |
4347
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
1754
20.8 IPS |
|
|
Face Detection (Q)
|
97% |
4876
58.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9527
73.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2231
17.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
10086
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21220
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12288
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
24915
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3591
132.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2252
83.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5368
198.8 IPS |
|
|
Text Classification (SP)
|
100% |
2018
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
716
955.7 IPS |
|
|
Text Classification (Q)
|
97% |
667
893.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2251
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
767
13.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2748
61.3 IPS |
