Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
36013
Single Precision Score
59530
Half Precision Score
27342
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 19 2025 05:55 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E59 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E EDGE TI WIFI (MS-7E59) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| 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% |
15007
2.79 KIPS |
|
|
Image Classification (HP)
|
100% |
22134
4.12 KIPS |
|
|
Image Classification (Q)
|
100% |
13067
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21724
352.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
28054
454.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
19702
320.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
239750
279.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
715794
835.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
204303
239.3 IPS |
|
|
Object Detection (SP)
|
100% |
19752
1.57 KIPS |
|
|
Object Detection (HP)
|
100% |
30419
2.41 KIPS |
|
|
Object Detection (Q)
|
86% |
16820
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
54249
644.6 IPS |
|
|
Face Detection (HP)
|
100% |
77481
920.6 IPS |
|
|
Face Detection (Q)
|
97% |
44239
527.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
92706
714.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
179134
1.38 KIPS |
|
|
Depth Estimation (Q)
|
78% |
67420
538.4 IPS |
|
|
Style Transfer (SP)
|
100% |
358508
460.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1179689
1.52 KIPS |
|
|
Style Transfer (Q)
|
98% |
307930
397.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58281
2.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
88051
3.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43237
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
4059
5.42 KIPS |
|
|
Text Classification (HP)
|
100% |
5055
6.75 KIPS |
|
|
Text Classification (Q)
|
97% |
2435
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
5573
96.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5673
97.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2730
51.2 IPS |
