Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
12135
Single Precision Score
21300
Half Precision Score
8364
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | oneilldp |
| Upload Date | April 28 2025 12:12 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| 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% |
5023
934.1 IPS |
|
|
Image Classification (HP)
|
100% |
9261
1.72 KIPS |
|
|
Image Classification (Q)
|
99% |
3883
724.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
8724
141.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12733
206.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6887
112.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
54520
63.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
149911
174.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
46292
54.2 IPS |
|
|
Object Detection (SP)
|
100% |
6176
489.9 IPS |
|
|
Object Detection (HP)
|
100% |
10804
857.0 IPS |
|
|
Object Detection (Q)
|
84% |
4755
383.5 IPS |
|
|
Face Detection (SP)
|
100% |
14591
173.4 IPS |
|
|
Face Detection (HP)
|
100% |
24198
287.5 IPS |
|
|
Face Detection (Q)
|
97% |
11627
138.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
28418
218.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
56985
439.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
20368
162.7 IPS |
|
|
Style Transfer (SP)
|
100% |
97041
124.7 IPS |
|
|
Style Transfer (HP)
|
100% |
233331
299.9 IPS |
|
|
Style Transfer (Q)
|
98% |
80106
103.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17125
632.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30026
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10476
387.9 IPS |
|
|
Text Classification (SP)
|
100% |
1954
2.61 KIPS |
|
|
Text Classification (HP)
|
99% |
2997
4.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1087
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3488
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3477
59.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1319
24.7 IPS |
