Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
14696
Single Precision Score
25591
Half Precision Score
10003
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | all4rs |
| Upload Date | January 18 2025 02:21 AM |
| Views | 8 |
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% |
6531
1.21 KIPS |
|
|
Image Classification (HP)
|
99% |
11129
2.08 KIPS |
|
|
Image Classification (Q)
|
99% |
4807
896.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
9380
152.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14321
232.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7610
123.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
71499
83.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
188671
220.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
59330
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
7411
587.9 IPS |
|
|
Object Detection (HP)
|
100% |
13834
1.10 KIPS |
|
|
Object Detection (Q)
|
84% |
5725
461.8 IPS |
|
|
Face Detection (SP)
|
100% |
17103
203.2 IPS |
|
|
Face Detection (HP)
|
100% |
27531
327.1 IPS |
|
|
Face Detection (Q)
|
97% |
13526
161.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
34028
262.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
68341
528.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
23730
189.9 IPS |
|
|
Style Transfer (SP)
|
100% |
119159
153.2 IPS |
|
|
Style Transfer (HP)
|
100% |
307854
395.8 IPS |
|
|
Style Transfer (Q)
|
98% |
96367
124.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22228
820.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38087
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13819
511.7 IPS |
|
|
Text Classification (SP)
|
100% |
2719
3.63 KIPS |
|
|
Text Classification (HP)
|
99% |
3700
4.94 KIPS |
|
|
Text Classification (Q)
|
97% |
1336
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3455
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3549
61.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1414
26.5 IPS |
