Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
13016
Single Precision Score
24808
Half Precision Score
9524
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | all4rs |
| Upload Date | January 18 2025 04:53 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 | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| 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% |
1787
332.2 IPS |
|
|
Image Classification (HP)
|
99% |
7327
1.37 KIPS |
|
|
Image Classification (Q)
|
99% |
2844
530.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
9456
153.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14498
235.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7621
123.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
72285
84.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
186157
217.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
59684
69.9 IPS |
|
|
Object Detection (SP)
|
100% |
7639
605.9 IPS |
|
|
Object Detection (HP)
|
100% |
14098
1.12 KIPS |
|
|
Object Detection (Q)
|
84% |
5649
455.7 IPS |
|
|
Face Detection (SP)
|
100% |
17011
202.1 IPS |
|
|
Face Detection (HP)
|
100% |
27962
332.2 IPS |
|
|
Face Detection (Q)
|
97% |
13746
163.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
34377
264.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
69700
538.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
23851
190.9 IPS |
|
|
Style Transfer (SP)
|
100% |
119595
153.7 IPS |
|
|
Style Transfer (HP)
|
100% |
311668
400.7 IPS |
|
|
Style Transfer (Q)
|
98% |
96492
124.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22566
833.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38597
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13867
513.5 IPS |
|
|
Text Classification (SP)
|
100% |
2753
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
3810
5.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1365
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3445
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3546
61.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1404
26.3 IPS |
