Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
17811
Single Precision Score
29969
Half Precision Score
11367
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 22 2025 03:33 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI DDR4 (MS-7E06) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7384
1.37 KIPS |
|
|
Image Classification (HP)
|
99% |
12002
2.24 KIPS |
|
|
Image Classification (Q)
|
100% |
5294
984.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
12489
202.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19320
313.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9616
156.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
97467
113.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
252470
294.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
74811
87.7 IPS |
|
|
Object Detection (SP)
|
100% |
8718
691.6 IPS |
|
|
Object Detection (HP)
|
100% |
15457
1.23 KIPS |
|
|
Object Detection (Q)
|
85% |
6368
512.6 IPS |
|
|
Face Detection (SP)
|
100% |
21224
252.2 IPS |
|
|
Face Detection (HP)
|
100% |
34615
411.3 IPS |
|
|
Face Detection (Q)
|
97% |
16323
194.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
38987
300.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78431
604.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
25946
207.7 IPS |
|
|
Style Transfer (SP)
|
100% |
153275
197.0 IPS |
|
|
Style Transfer (HP)
|
100% |
372527
478.9 IPS |
|
|
Style Transfer (Q)
|
98% |
117684
151.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29887
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
40800
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16108
596.4 IPS |
|
|
Text Classification (SP)
|
100% |
2638
3.52 KIPS |
|
|
Text Classification (HP)
|
99% |
3785
5.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1289
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4101
70.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4136
71.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1436
26.9 IPS |
