Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
5702
Single Precision Score
1675
Half Precision Score
8675
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 04 2025 09:14 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| 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% |
4855
902.9 IPS |
|
|
Image Classification (HP)
|
100% |
593
110.2 IPS |
|
|
Image Classification (Q)
|
99% |
7343
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2384
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1076
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4196
68.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11516
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4834
5.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
37723
44.2 IPS |
|
|
Object Detection (SP)
|
100% |
4190
332.3 IPS |
|
|
Object Detection (HP)
|
100% |
755
59.9 IPS |
|
|
Object Detection (Q)
|
86% |
8138
654.0 IPS |
|
|
Face Detection (SP)
|
100% |
12055
143.2 IPS |
|
|
Face Detection (HP)
|
100% |
1865
22.2 IPS |
|
|
Face Detection (Q)
|
97% |
12098
144.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13524
104.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2213
17.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
19013
151.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26102
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11788
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
26839
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3975
146.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2232
82.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5859
217.0 IPS |
|
|
Text Classification (SP)
|
100% |
1697
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1788
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2268
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3946
79.3 IPS |
