Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
14733
Single Precision Score
25628
Half Precision Score
10024
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | all4rs |
| Upload Date | January 18 2025 02:16 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 | System Mechanic - Ultra Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores |
| 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% |
6553
1.22 KIPS |
|
|
Image Classification (HP)
|
99% |
11097
2.07 KIPS |
|
|
Image Classification (Q)
|
99% |
4814
897.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
9413
152.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14261
231.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7625
124.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
71940
83.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
188255
219.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
59267
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
7466
592.2 IPS |
|
|
Object Detection (HP)
|
100% |
13958
1.11 KIPS |
|
|
Object Detection (Q)
|
84% |
5817
469.2 IPS |
|
|
Face Detection (SP)
|
100% |
17122
203.4 IPS |
|
|
Face Detection (HP)
|
100% |
27658
328.6 IPS |
|
|
Face Detection (Q)
|
97% |
13619
162.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
34124
262.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
68965
532.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
23738
190.0 IPS |
|
|
Style Transfer (SP)
|
100% |
119924
154.2 IPS |
|
|
Style Transfer (HP)
|
100% |
307130
394.8 IPS |
|
|
Style Transfer (Q)
|
98% |
96118
123.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22157
818.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38181
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13787
510.5 IPS |
|
|
Text Classification (SP)
|
100% |
2717
3.63 KIPS |
|
|
Text Classification (HP)
|
99% |
3710
4.95 KIPS |
|
|
Text Classification (Q)
|
97% |
1339
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3450
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3543
61.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1412
26.5 IPS |
