Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
10455
Single Precision Score
14539
Half Precision Score
7297
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TheMatrix2025 |
| Upload Date | September 30 2024 11:30 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% |
4879
907.3 IPS |
|
|
Image Classification (HP)
|
100% |
4845
901.1 IPS |
|
|
Image Classification (Q)
|
100% |
3672
682.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7277
118.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8464
137.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6135
99.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
39752
46.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
181531
211.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
35389
41.4 IPS |
|
|
Object Detection (SP)
|
100% |
5693
451.6 IPS |
|
|
Object Detection (HP)
|
100% |
5966
473.2 IPS |
|
|
Object Detection (Q)
|
89% |
4151
332.3 IPS |
|
|
Face Detection (SP)
|
100% |
11565
137.4 IPS |
|
|
Face Detection (HP)
|
100% |
11568
137.5 IPS |
|
|
Face Detection (Q)
|
97% |
9397
112.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
22797
175.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
29988
231.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
16637
133.9 IPS |
|
|
Style Transfer (SP)
|
100% |
76393
98.2 IPS |
|
|
Style Transfer (HP)
|
100% |
229533
295.1 IPS |
|
|
Style Transfer (Q)
|
98% |
66283
85.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15628
577.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25896
956.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10691
395.9 IPS |
|
|
Text Classification (SP)
|
100% |
1998
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1805
2.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1085
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3090
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2554
44.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1077
24.0 IPS |
