Micro-Star International Co., Ltd. MS-7D96
Geekbench AI Score
16152
Single Precision Score
27114
Half Precision Score
12298
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | December 15 2024 06:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D96 |
| Motherboard | Micro-Star International Co., Ltd. MAG B760 TOMAHAWK WIFI DDR4 (MS-7D96) |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6404
1.19 KIPS |
|
|
Image Classification (HP)
|
99% |
11734
2.19 KIPS |
|
|
Image Classification (Q)
|
100% |
5624
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10915
176.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14362
232.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9928
161.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
81437
95.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
223024
260.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
73710
86.3 IPS |
|
|
Object Detection (SP)
|
100% |
8008
635.2 IPS |
|
|
Object Detection (HP)
|
100% |
13926
1.10 KIPS |
|
|
Object Detection (Q)
|
89% |
6590
527.5 IPS |
|
|
Face Detection (SP)
|
100% |
17670
210.0 IPS |
|
|
Face Detection (HP)
|
100% |
27217
323.4 IPS |
|
|
Face Detection (Q)
|
97% |
13839
165.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
34895
268.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
74109
571.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
29610
237.9 IPS |
|
|
Style Transfer (SP)
|
100% |
139838
179.8 IPS |
|
|
Style Transfer (HP)
|
100% |
324127
416.7 IPS |
|
|
Style Transfer (Q)
|
98% |
122630
158.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27640
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45742
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20117
744.9 IPS |
|
|
Text Classification (SP)
|
100% |
3305
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
3867
5.16 KIPS |
|
|
Text Classification (Q)
|
97% |
2044
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3367
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3548
61.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1413
31.5 IPS |
