Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
5557
Single Precision Score
1760
Half Precision Score
7469
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | all4rs |
| Upload Date | January 18 2025 01:56 AM |
| Views | 5 |
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. PRO Z790-P WIFI (MS-7E06) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores |
| 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% |
4961
922.6 IPS |
|
|
Image Classification (HP)
|
100% |
750
139.4 IPS |
|
|
Image Classification (Q)
|
99% |
7649
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2229
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1372
22.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4023
65.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11576
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4688
5.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
37865
44.4 IPS |
|
|
Object Detection (SP)
|
100% |
4008
317.9 IPS |
|
|
Object Detection (HP)
|
100% |
910
72.2 IPS |
|
|
Object Detection (Q)
|
86% |
7616
612.1 IPS |
|
|
Face Detection (SP)
|
100% |
12496
148.5 IPS |
|
|
Face Detection (HP)
|
100% |
2313
27.5 IPS |
|
|
Face Detection (Q)
|
97% |
12095
144.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13366
103.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2077
16.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
19060
152.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25897
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12802
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
20636
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3744
138.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2189
80.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6101
225.9 IPS |
|
|
Text Classification (SP)
|
100% |
1409
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
633
845.5 IPS |
|
|
Text Classification (Q)
|
97% |
687
919.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2402
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3057
61.4 IPS |
