Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
14783
Single Precision Score
25790
Half Precision Score
9996
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | all4rs |
| Upload Date | January 18 2025 02:35 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% |
6584
1.22 KIPS |
|
|
Image Classification (HP)
|
99% |
11340
2.12 KIPS |
|
|
Image Classification (Q)
|
99% |
4860
906.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
9490
153.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14361
232.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7664
124.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
71649
83.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
188394
219.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
59139
69.3 IPS |
|
|
Object Detection (SP)
|
100% |
7526
597.0 IPS |
|
|
Object Detection (HP)
|
100% |
14086
1.12 KIPS |
|
|
Object Detection (Q)
|
84% |
5757
464.3 IPS |
|
|
Face Detection (SP)
|
100% |
17337
206.0 IPS |
|
|
Face Detection (HP)
|
100% |
27888
331.4 IPS |
|
|
Face Detection (Q)
|
97% |
13616
162.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
33687
259.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
68841
531.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
23555
188.6 IPS |
|
|
Style Transfer (SP)
|
100% |
120488
154.9 IPS |
|
|
Style Transfer (HP)
|
100% |
306321
393.8 IPS |
|
|
Style Transfer (Q)
|
98% |
95927
123.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22331
824.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38399
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13703
507.4 IPS |
|
|
Text Classification (SP)
|
100% |
2754
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
3768
5.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1325
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3420
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3541
61.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1407
26.4 IPS |
