Micro-Star International Co., Ltd. MS-7D76
Geekbench AI Score
40393
Single Precision Score
55178
Half Precision Score
30362
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 22 2025 02:48 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D76 |
| Motherboard | Micro-Star International Co., Ltd. MAG B650M MORTAR WIFI (MS-7D76) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13998
2.60 KIPS |
|
|
Image Classification (HP)
|
99% |
18370
3.43 KIPS |
|
|
Image Classification (Q)
|
100% |
12035
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27596
447.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
36844
597.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
25718
418.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
331130
386.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
558450
651.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
283786
332.5 IPS |
|
|
Object Detection (SP)
|
100% |
19995
1.59 KIPS |
|
|
Object Detection (HP)
|
100% |
25923
2.06 KIPS |
|
|
Object Detection (Q)
|
86% |
16719
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
59026
701.4 IPS |
|
|
Face Detection (HP)
|
100% |
75850
901.3 IPS |
|
|
Face Detection (Q)
|
97% |
49582
591.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
100116
771.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
159667
1.23 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72654
581.1 IPS |
|
|
Style Transfer (SP)
|
100% |
584750
751.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1105692
1.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
493608
636.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60600
2.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78701
2.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44491
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
99% |
4077
5.44 KIPS |
|
|
Text Classification (Q)
|
97% |
2101
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
6327
109.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6215
107.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2728
51.2 IPS |
