Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
34266
Single Precision Score
53930
Half Precision Score
26282
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 10 2025 04:18 PM |
| Views | 13 |
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-7C35 |
| Motherboard | Micro-Star International Co., Ltd. MEG X570 UNIFY (MS-7C35) |
| Power Plan | Razer Cortex Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12955
2.41 KIPS |
|
|
Image Classification (HP)
|
100% |
18057
3.36 KIPS |
|
|
Image Classification (Q)
|
100% |
11554
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25393
411.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
34733
563.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
22310
362.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
239571
279.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
690271
805.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
203768
238.7 IPS |
|
|
Object Detection (SP)
|
100% |
17982
1.43 KIPS |
|
|
Object Detection (HP)
|
100% |
25822
2.05 KIPS |
|
|
Object Detection (Q)
|
86% |
15301
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
52188
620.1 IPS |
|
|
Face Detection (HP)
|
100% |
70326
835.6 IPS |
|
|
Face Detection (Q)
|
97% |
42872
511.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
87965
677.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
157061
1.21 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65357
521.9 IPS |
|
|
Style Transfer (SP)
|
100% |
345888
444.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1023780
1.32 KIPS |
|
|
Style Transfer (Q)
|
98% |
302367
389.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50849
1.88 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72371
2.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38709
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
3086
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3632
4.85 KIPS |
|
|
Text Classification (Q)
|
97% |
2054
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
6320
108.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6264
107.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2905
54.5 IPS |
