Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
27903
Single Precision Score
47778
Half Precision Score
21693
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 04 2025 09:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11506
2.14 KIPS |
|
|
Image Classification (HP)
|
100% |
19343
3.60 KIPS |
|
|
Image Classification (Q)
|
100% |
10320
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18281
296.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
25323
410.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16783
272.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
160392
187.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
463688
541.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
140278
164.3 IPS |
|
|
Object Detection (SP)
|
100% |
14923
1.18 KIPS |
|
|
Object Detection (HP)
|
100% |
24085
1.91 KIPS |
|
|
Object Detection (Q)
|
83% |
12505
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
37041
440.1 IPS |
|
|
Face Detection (HP)
|
100% |
51761
615.0 IPS |
|
|
Face Detection (Q)
|
97% |
32080
382.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
69661
536.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
128361
988.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
53928
430.4 IPS |
|
|
Style Transfer (SP)
|
100% |
236056
303.5 IPS |
|
|
Style Transfer (HP)
|
100% |
788017
1.01 KIPS |
|
|
Style Transfer (Q)
|
98% |
201855
260.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41907
1.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79485
2.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33042
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
4197
5.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5019
6.70 KIPS |
|
|
Text Classification (Q)
|
97% |
2441
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
5305
91.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5425
93.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2697
50.6 IPS |
