Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
14669
Single Precision Score
25506
Half Precision Score
9945
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | all4rs |
| Upload Date | January 18 2025 02:23 AM |
| Views | 7 |
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 |
| 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% |
6493
1.21 KIPS |
|
|
Image Classification (HP)
|
99% |
10972
2.05 KIPS |
|
|
Image Classification (Q)
|
99% |
4779
891.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
9395
152.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14186
230.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7576
123.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
72031
84.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
187619
218.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
58848
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
7437
589.9 IPS |
|
|
Object Detection (HP)
|
100% |
13952
1.11 KIPS |
|
|
Object Detection (Q)
|
84% |
5772
465.5 IPS |
|
|
Face Detection (SP)
|
100% |
17071
202.8 IPS |
|
|
Face Detection (HP)
|
100% |
27716
329.3 IPS |
|
|
Face Detection (Q)
|
97% |
13604
162.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
34120
262.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
69527
537.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
23727
189.9 IPS |
|
|
Style Transfer (SP)
|
100% |
119586
153.7 IPS |
|
|
Style Transfer (HP)
|
100% |
305778
393.1 IPS |
|
|
Style Transfer (Q)
|
98% |
95511
123.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22131
817.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37790
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13576
502.7 IPS |
|
|
Text Classification (SP)
|
100% |
2696
3.60 KIPS |
|
|
Text Classification (HP)
|
99% |
3704
4.94 KIPS |
|
|
Text Classification (Q)
|
97% |
1319
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3397
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3468
59.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1395
26.2 IPS |
