Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
32607
Single Precision Score
55113
Half Precision Score
24766
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 04 2025 02:37 PM |
| Views | 6 |
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 7 9800X3D |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13137
2.44 KIPS |
|
|
Image Classification (HP)
|
100% |
18904
3.52 KIPS |
|
|
Image Classification (Q)
|
100% |
11178
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22284
361.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
31300
507.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
20633
335.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
174030
203.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
645916
753.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
157143
184.1 IPS |
|
|
Object Detection (SP)
|
100% |
16800
1.33 KIPS |
|
|
Object Detection (HP)
|
100% |
27837
2.21 KIPS |
|
|
Object Detection (Q)
|
86% |
13969
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
48747
579.2 IPS |
|
|
Face Detection (HP)
|
100% |
68393
812.7 IPS |
|
|
Face Detection (Q)
|
97% |
39945
476.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
83484
643.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
137686
1.06 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62629
500.1 IPS |
|
|
Style Transfer (SP)
|
100% |
323836
416.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1030575
1.32 KIPS |
|
|
Style Transfer (Q)
|
98% |
267345
344.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48377
1.79 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81989
3.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37530
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
3984
5.32 KIPS |
|
|
Text Classification (HP)
|
100% |
4916
6.56 KIPS |
|
|
Text Classification (Q)
|
97% |
2358
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
6250
107.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6214
107.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2898
54.4 IPS |
