Micro-Star International Co., Ltd. MS-7E23
Geekbench AI Score
3983
Single Precision Score
1334
Half Precision Score
7122
Quantized Score
Geekbench AI 1.5.0 Corporate for Windows AVX2
Result Information
| User | FRANCKY2227 |
| Upload Date | September 20 2025 10:03 PM |
| Views | 10 |
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% |
3559
661.9 IPS |
|
|
Image Classification (HP)
|
100% |
516
96.0 IPS |
|
|
Image Classification (Q)
|
99% |
6012
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1805
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
884
14.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10140
164.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9803
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4576
5.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
26075
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
3015
239.2 IPS |
|
|
Object Detection (HP)
|
100% |
652
51.7 IPS |
|
|
Object Detection (Q)
|
86% |
5435
436.8 IPS |
|
|
Face Detection (SP)
|
100% |
11061
131.4 IPS |
|
|
Face Detection (HP)
|
100% |
1520
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
9496
113.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10441
80.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2039
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
14394
114.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22092
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11604
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
21316
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3268
120.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1976
73.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4659
172.5 IPS |
|
|
Text Classification (SP)
|
100% |
1406
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
698
931.9 IPS |
|
|
Text Classification (Q)
|
97% |
1145
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
452
7.78 IPS |
|
|
Machine Translation (HP)
|
100% |
266
4.58 IPS |
|
|
Machine Translation (Q)
|
65% |
2501
50.3 IPS |
