Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
14831
Single Precision Score
25997
Half Precision Score
10124
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | all4rs |
| Upload Date | January 18 2025 04:55 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6681
1.24 KIPS |
|
|
Image Classification (HP)
|
99% |
11514
2.15 KIPS |
|
|
Image Classification (Q)
|
99% |
4945
922.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
9463
153.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14417
233.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7600
123.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
71740
83.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
186576
217.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
59525
69.7 IPS |
|
|
Object Detection (SP)
|
100% |
7431
589.4 IPS |
|
|
Object Detection (HP)
|
100% |
14192
1.13 KIPS |
|
|
Object Detection (Q)
|
84% |
5945
479.5 IPS |
|
|
Face Detection (SP)
|
100% |
17171
204.0 IPS |
|
|
Face Detection (HP)
|
100% |
27904
331.6 IPS |
|
|
Face Detection (Q)
|
97% |
13745
163.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
34280
264.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
71256
550.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
23995
192.1 IPS |
|
|
Style Transfer (SP)
|
100% |
120100
154.4 IPS |
|
|
Style Transfer (HP)
|
100% |
312176
401.3 IPS |
|
|
Style Transfer (Q)
|
98% |
96662
124.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22675
837.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38426
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13892
514.4 IPS |
|
|
Text Classification (SP)
|
100% |
2783
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
3808
5.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1362
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3425
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3533
60.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1411
26.5 IPS |
