Micro-Star International Co., Ltd. MS-7D54
Geekbench AI Score
23852
Single Precision Score
37013
Half Precision Score
14597
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | xeonz |
| Upload Date | January 27 2026 09:27 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D54 |
| Motherboard | Micro-Star International Co., Ltd. MAG X570S TOMAHAWK MAX WIFI (MS-7D54) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9684
1.80 KIPS |
|
|
Image Classification (HP)
|
99% |
13623
2.54 KIPS |
|
|
Image Classification (Q)
|
100% |
6498
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16838
273.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24819
402.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
12124
197.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
139682
163.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
398985
465.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
109130
127.9 IPS |
|
|
Object Detection (SP)
|
100% |
11894
943.4 IPS |
|
|
Object Detection (HP)
|
100% |
17490
1.39 KIPS |
|
|
Object Detection (Q)
|
85% |
8245
663.2 IPS |
|
|
Face Detection (SP)
|
100% |
31401
373.1 IPS |
|
|
Face Detection (HP)
|
100% |
44360
527.1 IPS |
|
|
Face Detection (Q)
|
97% |
21500
256.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
57650
444.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
102738
791.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
34966
280.1 IPS |
|
|
Style Transfer (SP)
|
100% |
251699
323.6 IPS |
|
|
Style Transfer (HP)
|
100% |
598361
769.2 IPS |
|
|
Style Transfer (Q)
|
98% |
183140
236.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35990
1.33 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44680
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19788
732.7 IPS |
|
|
Text Classification (SP)
|
100% |
2899
3.87 KIPS |
|
|
Text Classification (HP)
|
99% |
3689
4.92 KIPS |
|
|
Text Classification (Q)
|
97% |
1443
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4629
79.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4551
78.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1577
29.6 IPS |
