Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
5681
Single Precision Score
1690
Half Precision Score
8675
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 10 2025 05:46 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. Z790 GAMING PLUS 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4756
884.4 IPS |
|
|
Image Classification (HP)
|
100% |
607
112.8 IPS |
|
|
Image Classification (Q)
|
99% |
7423
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2174
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4418
71.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11418
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4880
5.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
34356
40.3 IPS |
|
|
Object Detection (SP)
|
100% |
4280
339.5 IPS |
|
|
Object Detection (HP)
|
100% |
735
58.3 IPS |
|
|
Object Detection (Q)
|
86% |
7853
631.1 IPS |
|
|
Face Detection (SP)
|
100% |
12067
143.4 IPS |
|
|
Face Detection (HP)
|
100% |
1861
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
12203
145.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13324
102.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2165
16.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
19375
154.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26053
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12036
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
28725
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4141
152.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2249
83.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5825
215.7 IPS |
|
|
Text Classification (SP)
|
100% |
1801
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
795
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1801
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2222
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
888
15.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3829
76.9 IPS |
