Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
5556
Single Precision Score
1646
Half Precision Score
9039
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Pachnes |
| Upload Date | September 06 2025 05:00 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900 |
| 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 | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900 |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4895
910.3 IPS |
|
|
Image Classification (HP)
|
100% |
602
111.9 IPS |
|
|
Image Classification (Q)
|
99% |
7296
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2316
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12852
209.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11135
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
4505
5.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
32251
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
4340
344.3 IPS |
|
|
Object Detection (HP)
|
100% |
810
64.3 IPS |
|
|
Object Detection (Q)
|
86% |
7646
614.5 IPS |
|
|
Face Detection (SP)
|
100% |
11804
140.3 IPS |
|
|
Face Detection (HP)
|
100% |
1664
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
10736
128.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12653
97.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2082
16.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
18559
148.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24462
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11406
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
22298
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3809
140.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2071
76.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6506
240.9 IPS |
|
|
Text Classification (SP)
|
100% |
1641
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
802
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1506
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2242
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
881
15.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3620
72.7 IPS |
