Micro-Star International Co., Ltd. MS-7E23
Geekbench AI Score
26132
Single Precision Score
45637
Half Precision Score
20383
Quantized Score
Geekbench AI 1.5.0 Corporate for Windows AVX2
Result Information
| User | FRANCKY2227 |
| Upload Date | September 20 2025 10:05 PM |
| Views | 8 |
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 | 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% |
10179
1.89 KIPS |
|
|
Image Classification (HP)
|
100% |
17099
3.18 KIPS |
|
|
Image Classification (Q)
|
100% |
9318
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20275
328.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
29673
481.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18175
295.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
157421
183.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
457224
533.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
133404
156.3 IPS |
|
|
Object Detection (SP)
|
100% |
12998
1.03 KIPS |
|
|
Object Detection (HP)
|
100% |
20301
1.61 KIPS |
|
|
Object Detection (Q)
|
83% |
11475
927.1 IPS |
|
|
Face Detection (SP)
|
100% |
36647
435.4 IPS |
|
|
Face Detection (HP)
|
100% |
52481
623.6 IPS |
|
|
Face Detection (Q)
|
97% |
32219
384.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
64526
497.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
126021
970.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
51310
409.5 IPS |
|
|
Style Transfer (SP)
|
100% |
213942
275.0 IPS |
|
|
Style Transfer (HP)
|
100% |
731101
939.8 IPS |
|
|
Style Transfer (Q)
|
98% |
184862
238.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38007
1.40 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69819
2.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31043
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3374
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4100
5.47 KIPS |
|
|
Text Classification (Q)
|
97% |
2109
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5422
93.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6012
103.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2387
44.8 IPS |
