Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
10271
Single Precision Score
14199
Half Precision Score
7023
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TheMatrix2025 |
| Upload Date | September 30 2024 11:26 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| 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% |
4719
877.5 IPS |
|
|
Image Classification (HP)
|
100% |
4741
881.7 IPS |
|
|
Image Classification (Q)
|
100% |
3259
606.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7063
114.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8459
137.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5805
94.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
39127
45.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
176650
206.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
34438
40.3 IPS |
|
|
Object Detection (SP)
|
100% |
5091
403.8 IPS |
|
|
Object Detection (HP)
|
100% |
5606
444.6 IPS |
|
|
Object Detection (Q)
|
89% |
3641
291.5 IPS |
|
|
Face Detection (SP)
|
100% |
11713
139.2 IPS |
|
|
Face Detection (HP)
|
100% |
10195
121.1 IPS |
|
|
Face Detection (Q)
|
97% |
9399
112.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
22859
176.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
30116
232.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
16630
133.9 IPS |
|
|
Style Transfer (SP)
|
100% |
77526
99.7 IPS |
|
|
Style Transfer (HP)
|
100% |
228913
294.3 IPS |
|
|
Style Transfer (Q)
|
98% |
65978
85.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15534
573.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26002
960.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10475
387.9 IPS |
|
|
Text Classification (SP)
|
100% |
2022
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1802
2.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1075
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3021
52.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2548
44.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1061
23.7 IPS |
