Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
4669
Single Precision Score
870
Half Precision Score
6372
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | kll |
| Upload Date | July 08 2025 01:24 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. Z790 GAMING PLUS WIFI (MS-7E06) |
| Power Plan | Balanced |
| 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% |
2609
485.1 IPS |
|
|
Image Classification (HP)
|
100% |
157
29.3 IPS |
|
|
Image Classification (Q)
|
99% |
4624
862.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
289
4.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
3901
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11370
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4870
5.68 IPS |
|
|
Pose Estimation (Q)
|
95% |
35910
42.1 IPS |
|
|
Object Detection (SP)
|
100% |
2871
227.7 IPS |
|
|
Object Detection (HP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (Q)
|
88% |
2576
206.5 IPS |
|
|
Face Detection (SP)
|
100% |
4985
59.2 IPS |
|
|
Face Detection (HP)
|
100% |
341
4.05 IPS |
|
|
Face Detection (Q)
|
97% |
5756
68.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11103
85.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1018
7.85 IPS |
|
|
Depth Estimation (Q)
|
76% |
12485
100.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25940
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12100
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
29909
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4029
148.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2233
82.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5723
211.9 IPS |
|
|
Text Classification (SP)
|
100% |
1869
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
730
974.7 IPS |
|
|
Text Classification (Q)
|
97% |
1699
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2265
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
733
12.6 IPS |
|
|
Machine Translation (Q)
|
60% |
3166
70.6 IPS |
