Micro-Star International Co., Ltd. MS-7E23
Geekbench AI Score
28642
Single Precision Score
50158
Half Precision Score
22272
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | FRANCKY2227 |
| Upload Date | October 29 2025 03:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| 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% |
11089
2.06 KIPS |
|
|
Image Classification (HP)
|
100% |
18728
3.48 KIPS |
|
|
Image Classification (Q)
|
100% |
10292
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21684
351.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
31921
517.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19460
316.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
163709
191.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
483793
564.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
142348
166.7 IPS |
|
|
Object Detection (SP)
|
100% |
15045
1.19 KIPS |
|
|
Object Detection (HP)
|
100% |
25173
2.00 KIPS |
|
|
Object Detection (Q)
|
83% |
12690
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
41140
488.8 IPS |
|
|
Face Detection (HP)
|
100% |
62467
742.2 IPS |
|
|
Face Detection (Q)
|
97% |
35207
419.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
71388
550.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
127852
985.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
55660
444.3 IPS |
|
|
Style Transfer (SP)
|
100% |
234750
301.8 IPS |
|
|
Style Transfer (HP)
|
100% |
787227
1.01 KIPS |
|
|
Style Transfer (Q)
|
98% |
198786
256.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42575
1.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76933
2.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31715
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3713
4.96 KIPS |
|
|
Text Classification (HP)
|
100% |
4711
6.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2372
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5758
99.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6076
104.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2833
53.1 IPS |
