Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
33777
Single Precision Score
50728
Half Precision Score
26122
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | TobbeOCking |
| Upload Date | March 16 2025 04:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E51 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870 TOMAHAWK WIFI (MS-7E51) |
| Power Plan | Balanserat |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13736
2.55 KIPS |
|
|
Image Classification (HP)
|
99% |
20385
3.80 KIPS |
|
|
Image Classification (Q)
|
100% |
12234
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21613
350.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
28239
457.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
20372
331.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
200492
233.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
493192
575.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
180550
211.5 IPS |
|
|
Object Detection (SP)
|
100% |
17113
1.36 KIPS |
|
|
Object Detection (HP)
|
100% |
25887
2.05 KIPS |
|
|
Object Detection (Q)
|
85% |
14502
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
46402
551.4 IPS |
|
|
Face Detection (HP)
|
100% |
62090
737.8 IPS |
|
|
Face Detection (Q)
|
97% |
39660
472.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
81527
628.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
135130
1.04 KIPS |
|
|
Depth Estimation (Q)
|
77% |
62919
503.0 IPS |
|
|
Style Transfer (SP)
|
100% |
354667
455.9 IPS |
|
|
Style Transfer (HP)
|
100% |
829095
1.07 KIPS |
|
|
Style Transfer (Q)
|
98% |
312022
402.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56418
2.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71218
2.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40323
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
4251
5.67 KIPS |
|
|
Text Classification (HP)
|
99% |
5275
7.04 KIPS |
|
|
Text Classification (Q)
|
97% |
2516
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
5898
101.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5876
101.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2870
53.8 IPS |
