Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
33712
Single Precision Score
58304
Half Precision Score
25663
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 09:57 AM |
| Views | 4 |
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-7E59 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870E TOMAHAWK WIFI (MS-7E59) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14225
2.65 KIPS |
|
|
Image Classification (HP)
|
100% |
21704
4.04 KIPS |
|
|
Image Classification (Q)
|
100% |
12671
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22756
368.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
32374
524.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
21005
341.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
177614
207.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
686605
801.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
158985
186.2 IPS |
|
|
Object Detection (SP)
|
100% |
18032
1.43 KIPS |
|
|
Object Detection (HP)
|
100% |
30172
2.39 KIPS |
|
|
Object Detection (Q)
|
86% |
14898
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
51074
606.9 IPS |
|
|
Face Detection (HP)
|
100% |
72011
855.7 IPS |
|
|
Face Detection (Q)
|
97% |
42120
502.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
88661
683.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
151492
1.17 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65919
526.4 IPS |
|
|
Style Transfer (SP)
|
100% |
320849
412.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1060978
1.36 KIPS |
|
|
Style Transfer (Q)
|
98% |
266890
344.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49475
1.83 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83586
3.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37596
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
4024
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
5022
6.70 KIPS |
|
|
Text Classification (Q)
|
97% |
2409
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
6323
108.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6419
110.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2929
54.9 IPS |
