Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
38768
Single Precision Score
61574
Half Precision Score
28892
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | romulus_ut3 |
| Upload Date | May 11 2025 07:23 AM |
| Views | 11 |
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% |
14822
2.76 KIPS |
|
|
Image Classification (HP)
|
100% |
21736
4.04 KIPS |
|
|
Image Classification (Q)
|
100% |
12894
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
31191
505.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
26093
423.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
27822
452.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
241529
281.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
741046
864.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
204832
239.9 IPS |
|
|
Object Detection (SP)
|
100% |
20848
1.65 KIPS |
|
|
Object Detection (HP)
|
100% |
32720
2.60 KIPS |
|
|
Object Detection (Q)
|
86% |
17608
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
60923
723.9 IPS |
|
|
Face Detection (HP)
|
100% |
90259
1.07 KIPS |
|
|
Face Detection (Q)
|
97% |
48728
581.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
91969
708.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
170725
1.32 KIPS |
|
|
Depth Estimation (Q)
|
78% |
67413
538.3 IPS |
|
|
Style Transfer (SP)
|
100% |
353981
455.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1179725
1.52 KIPS |
|
|
Style Transfer (Q)
|
98% |
305202
393.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56801
2.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86945
3.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42627
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
3731
4.98 KIPS |
|
|
Text Classification (HP)
|
100% |
4573
6.10 KIPS |
|
|
Text Classification (Q)
|
97% |
2306
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
7838
135.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7882
135.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3179
59.6 IPS |
