Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
36799
Single Precision Score
53331
Half Precision Score
28104
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | grnflash |
| Upload Date | April 02 2025 12:32 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13466
2.50 KIPS |
|
|
Image Classification (HP)
|
99% |
18722
3.49 KIPS |
|
|
Image Classification (Q)
|
100% |
11669
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26112
423.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
34767
563.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
23915
388.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
270831
316.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
515737
601.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
239350
280.4 IPS |
|
|
Object Detection (SP)
|
100% |
18153
1.44 KIPS |
|
|
Object Detection (HP)
|
100% |
25606
2.03 KIPS |
|
|
Object Detection (Q)
|
85% |
15375
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
53928
640.8 IPS |
|
|
Face Detection (HP)
|
100% |
70927
842.8 IPS |
|
|
Face Detection (Q)
|
97% |
45516
542.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
87157
671.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
155326
1.20 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65667
524.4 IPS |
|
|
Style Transfer (SP)
|
100% |
414848
533.3 IPS |
|
|
Style Transfer (HP)
|
100% |
916070
1.18 KIPS |
|
|
Style Transfer (Q)
|
98% |
362871
467.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56518
2.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75129
2.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42687
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
3606
4.81 KIPS |
|
|
Text Classification (HP)
|
99% |
4381
5.85 KIPS |
|
|
Text Classification (Q)
|
97% |
2238
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
6630
114.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6519
112.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2889
54.2 IPS |
