Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
38564
Single Precision Score
65018
Half Precision Score
28875
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | romulus_ut3 |
| Upload Date | May 11 2025 07:21 AM |
| Views | 14 |
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-7D75 |
| Motherboard | Micro-Star International Co., Ltd. MAG B650 TOMAHAWK WIFI (MS-7D75) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14888
2.77 KIPS |
|
|
Image Classification (HP)
|
100% |
21626
4.02 KIPS |
|
|
Image Classification (Q)
|
100% |
12938
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30537
495.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
46144
748.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
27811
452.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
239125
279.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
738371
861.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
204650
239.7 IPS |
|
|
Object Detection (SP)
|
100% |
20751
1.65 KIPS |
|
|
Object Detection (HP)
|
100% |
32404
2.57 KIPS |
|
|
Object Detection (Q)
|
86% |
17576
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
60980
724.6 IPS |
|
|
Face Detection (HP)
|
100% |
90675
1.08 KIPS |
|
|
Face Detection (Q)
|
97% |
48617
579.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
91950
708.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
170349
1.31 KIPS |
|
|
Depth Estimation (Q)
|
78% |
67298
537.4 IPS |
|
|
Style Transfer (SP)
|
100% |
350514
450.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1174364
1.51 KIPS |
|
|
Style Transfer (Q)
|
98% |
307792
396.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56790
2.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87038
3.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42587
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
3729
4.98 KIPS |
|
|
Text Classification (HP)
|
100% |
4573
6.10 KIPS |
|
|
Text Classification (Q)
|
97% |
2295
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
7749
133.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7832
134.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3163
59.3 IPS |
