Micro-Star International Co., Ltd. MS-7E23
Geekbench AI Score
4668
Single Precision Score
1468
Half Precision Score
7968
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | FRANCKY2227 |
| Upload Date | October 29 2025 03:10 PM |
| Views | 4 |
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 | Utilisation normale |
| 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% |
3808
708.1 IPS |
|
|
Image Classification (HP)
|
100% |
552
102.7 IPS |
|
|
Image Classification (Q)
|
99% |
6368
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1953
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
994
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10547
171.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8585
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
4289
5.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
22181
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
3919
310.9 IPS |
|
|
Object Detection (HP)
|
100% |
678
53.8 IPS |
|
|
Object Detection (Q)
|
86% |
7117
571.9 IPS |
|
|
Face Detection (SP)
|
100% |
12084
143.6 IPS |
|
|
Face Detection (HP)
|
100% |
1511
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
10203
121.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8285
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1965
15.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
13651
108.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20537
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10459
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
26823
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3373
124.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1861
68.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5487
203.2 IPS |
|
|
Text Classification (SP)
|
100% |
1562
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
704
940.2 IPS |
|
|
Text Classification (Q)
|
97% |
1384
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1816
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3430
68.9 IPS |
