Micro-Star International Co., Ltd. MS-7E23
Geekbench AI Score
2754
Single Precision Score
4084
Half Precision Score
6334
Quantized Score
Geekbench AI 1.5.0 Corporate for Windows AVX2
Result Information
| User | FRANCKY2227 |
| Upload Date | September 20 2025 10:14 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| 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% |
1658
308.4 IPS |
|
|
Image Classification (HP)
|
100% |
2695
501.2 IPS |
|
|
Image Classification (Q)
|
99% |
4114
767.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2535
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4130
67.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4768
77.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4517
5.27 IPS |
|
|
Pose Estimation (HP)
|
99% |
3284
3.83 IPS |
|
|
Pose Estimation (Q)
|
97% |
13461
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1531
121.4 IPS |
|
|
Object Detection (HP)
|
98% |
2394
190.5 IPS |
|
|
Object Detection (Q)
|
90% |
4356
348.3 IPS |
|
|
Face Detection (SP)
|
100% |
5402
64.2 IPS |
|
|
Face Detection (HP)
|
100% |
8338
99.1 IPS |
|
|
Face Detection (Q)
|
100% |
10851
128.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5257
40.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8822
68.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
12072
93.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11684
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18276
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30899
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2097
77.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3359
124.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6718
248.8 IPS |
|
|
Text Classification (SP)
|
71% |
1184
1.71 KIPS |
|
|
Text Classification (HP)
|
71% |
1419
2.05 KIPS |
|
|
Text Classification (Q)
|
92% |
1450
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2306
39.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2295
39.5 IPS |
