Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
14706
Single Precision Score
25596
Half Precision Score
10030
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | all4rs |
| Upload Date | January 18 2025 02:18 AM |
| Views | 6 |
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% |
6520
1.21 KIPS |
|
|
Image Classification (HP)
|
99% |
11115
2.07 KIPS |
|
|
Image Classification (Q)
|
99% |
4845
903.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
9365
151.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14306
231.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7608
123.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
71953
84.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
187340
218.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
59116
69.3 IPS |
|
|
Object Detection (SP)
|
100% |
7445
590.5 IPS |
|
|
Object Detection (HP)
|
100% |
13869
1.10 KIPS |
|
|
Object Detection (Q)
|
84% |
5832
470.4 IPS |
|
|
Face Detection (SP)
|
100% |
17100
203.2 IPS |
|
|
Face Detection (HP)
|
100% |
27776
330.0 IPS |
|
|
Face Detection (Q)
|
97% |
13568
161.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
34131
263.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
68682
530.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
23734
190.0 IPS |
|
|
Style Transfer (SP)
|
100% |
119610
153.8 IPS |
|
|
Style Transfer (HP)
|
100% |
304756
391.8 IPS |
|
|
Style Transfer (Q)
|
98% |
96050
123.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22235
821.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38127
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13910
515.1 IPS |
|
|
Text Classification (SP)
|
100% |
2712
3.62 KIPS |
|
|
Text Classification (HP)
|
99% |
3713
4.96 KIPS |
|
|
Text Classification (Q)
|
97% |
1338
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3438
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3551
61.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1409
26.4 IPS |
