Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
14860
Single Precision Score
25925
Half Precision Score
10103
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | all4rs |
| Upload Date | January 18 2025 02:04 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% |
6681
1.24 KIPS |
|
|
Image Classification (HP)
|
99% |
11434
2.13 KIPS |
|
|
Image Classification (Q)
|
99% |
4923
918.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
9422
152.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14356
232.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7664
124.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
71803
83.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
189017
220.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
59395
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
7574
600.8 IPS |
|
|
Object Detection (HP)
|
100% |
14122
1.12 KIPS |
|
|
Object Detection (Q)
|
84% |
5837
470.8 IPS |
|
|
Face Detection (SP)
|
100% |
17162
203.9 IPS |
|
|
Face Detection (HP)
|
100% |
28142
334.4 IPS |
|
|
Face Detection (Q)
|
97% |
13623
162.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
34208
263.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
69173
534.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
23872
191.1 IPS |
|
|
Style Transfer (SP)
|
100% |
119853
154.1 IPS |
|
|
Style Transfer (HP)
|
100% |
305808
393.1 IPS |
|
|
Style Transfer (Q)
|
98% |
96519
124.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22514
831.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38479
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13874
513.7 IPS |
|
|
Text Classification (SP)
|
100% |
2764
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
3782
5.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1367
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3505
60.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3614
62.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1423
26.7 IPS |
