Micro-Star International Co., Ltd. MS-7E23
Geekbench AI Score
5722
Single Precision Score
1879
Half Precision Score
9319
Quantized Score
Geekbench AI 1.5.0 Corporate for Windows AVX2
Result Information
| User | FRANCKY2227 |
| Upload Date | September 17 2025 12:18 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E23 |
| Motherboard | Micro-Star International Co., Ltd. Z790 PROJECT ZERO (MS-7E23) |
| Power Plan | Performances optimales |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4839
899.9 IPS |
|
|
Image Classification (HP)
|
100% |
674
125.3 IPS |
|
|
Image Classification (Q)
|
99% |
7551
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1214
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12357
200.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11181
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
5164
6.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
33565
39.4 IPS |
|
|
Object Detection (SP)
|
100% |
4438
352.0 IPS |
|
|
Object Detection (HP)
|
100% |
879
69.8 IPS |
|
|
Object Detection (Q)
|
86% |
7943
638.3 IPS |
|
|
Face Detection (SP)
|
100% |
11903
141.4 IPS |
|
|
Face Detection (HP)
|
100% |
1785
21.2 IPS |
|
|
Face Detection (Q)
|
97% |
12812
152.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12863
99.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2595
20.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
18599
148.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25850
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13155
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
28396
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4182
154.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2389
88.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6059
224.3 IPS |
|
|
Text Classification (SP)
|
100% |
1902
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
986
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1508
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2361
40.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1030
17.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3215
64.6 IPS |
