Micro-Star International Co., Ltd. MS-7E62
Geekbench AI Score
36128
Single Precision Score
63941
Half Precision Score
26777
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SgtBauerFR |
| Upload Date | April 01 2025 08:05 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E62 |
| Motherboard | Micro-Star International Co., Ltd. MAG B850 TOMAHAWK MAX WIFI (MS-7E62) |
| Power Plan | Atlas Power Scheme |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores |
| 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% |
14829
2.76 KIPS |
|
|
Image Classification (HP)
|
100% |
23190
4.31 KIPS |
|
|
Image Classification (Q)
|
100% |
12910
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27941
452.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
43924
712.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
25094
408.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
175743
205.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
711622
830.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
157990
185.1 IPS |
|
|
Object Detection (SP)
|
100% |
19200
1.52 KIPS |
|
|
Object Detection (HP)
|
100% |
32639
2.59 KIPS |
|
|
Object Detection (Q)
|
86% |
15815
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
56170
667.4 IPS |
|
|
Face Detection (HP)
|
100% |
83266
989.4 IPS |
|
|
Face Detection (Q)
|
97% |
43880
523.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
89554
690.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
147632
1.14 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65702
524.6 IPS |
|
|
Style Transfer (SP)
|
100% |
328021
421.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1094137
1.41 KIPS |
|
|
Style Transfer (Q)
|
98% |
272134
350.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51173
1.89 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86172
3.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38628
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
4057
5.42 KIPS |
|
|
Text Classification (HP)
|
100% |
5231
6.98 KIPS |
|
|
Text Classification (Q)
|
97% |
2427
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
7910
136.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7965
137.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3183
59.7 IPS |
