Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
38693
Single Precision Score
51835
Half Precision Score
29406
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | slawomirrybarczyk |
| Upload Date | July 31 2025 06:52 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| 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 ACE (MS-7C35) |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13229
2.46 KIPS |
|
|
Image Classification (HP)
|
99% |
16927
3.16 KIPS |
|
|
Image Classification (Q)
|
100% |
11348
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26796
434.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
33926
550.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
24148
392.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
333151
388.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
556705
649.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
286336
335.5 IPS |
|
|
Object Detection (SP)
|
100% |
18995
1.51 KIPS |
|
|
Object Detection (HP)
|
100% |
24101
1.91 KIPS |
|
|
Object Detection (Q)
|
86% |
15808
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
55032
653.9 IPS |
|
|
Face Detection (HP)
|
100% |
68953
819.3 IPS |
|
|
Face Detection (Q)
|
97% |
46776
557.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
98494
758.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
156357
1.20 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72371
578.8 IPS |
|
|
Style Transfer (SP)
|
100% |
571228
734.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1074060
1.38 KIPS |
|
|
Style Transfer (Q)
|
98% |
488195
629.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57471
2.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74001
2.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43478
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
3120
4.16 KIPS |
|
|
Text Classification (HP)
|
99% |
3750
5.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1991
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
6040
104.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5656
97.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2725
51.1 IPS |
