Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
5855
Single Precision Score
1708
Half Precision Score
8926
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 06:15 AM |
| Views | 2 |
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% |
4843
900.7 IPS |
|
|
Image Classification (HP)
|
100% |
570
106.1 IPS |
|
|
Image Classification (Q)
|
99% |
7488
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1229
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4466
72.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11526
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4851
5.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
35945
42.1 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
716
56.8 IPS |
|
|
Object Detection (Q)
|
86% |
8186
657.9 IPS |
|
|
Face Detection (SP)
|
100% |
12589
149.6 IPS |
|
|
Face Detection (HP)
|
100% |
2044
24.3 IPS |
|
|
Face Detection (Q)
|
97% |
12437
148.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13535
104.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2208
17.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
19345
154.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26224
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12148
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31364
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4085
150.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2298
84.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6099
225.9 IPS |
|
|
Text Classification (SP)
|
100% |
1916
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
793
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1822
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2312
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
870
15.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3893
78.2 IPS |
