Micro-Star International Co., Ltd. MS-7D54
Geekbench AI Score
23283
Single Precision Score
36193
Half Precision Score
14425
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | xeonz |
| Upload Date | January 27 2026 09:52 AM |
| Views | 4 |
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% |
9009
1.68 KIPS |
|
|
Image Classification (HP)
|
99% |
12893
2.40 KIPS |
|
|
Image Classification (Q)
|
100% |
6411
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16517
267.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24247
393.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
12098
196.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
138590
161.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
391312
456.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
108008
126.5 IPS |
|
|
Object Detection (SP)
|
100% |
11811
936.9 IPS |
|
|
Object Detection (HP)
|
100% |
17163
1.36 KIPS |
|
|
Object Detection (Q)
|
85% |
8112
652.5 IPS |
|
|
Face Detection (SP)
|
100% |
30910
367.3 IPS |
|
|
Face Detection (HP)
|
100% |
44257
525.9 IPS |
|
|
Face Detection (Q)
|
97% |
21363
254.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
57438
442.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
101973
785.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
35035
280.7 IPS |
|
|
Style Transfer (SP)
|
100% |
249310
320.5 IPS |
|
|
Style Transfer (HP)
|
100% |
590669
759.3 IPS |
|
|
Style Transfer (Q)
|
98% |
180256
232.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34991
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42829
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19550
723.9 IPS |
|
|
Text Classification (SP)
|
100% |
2743
3.66 KIPS |
|
|
Text Classification (HP)
|
99% |
3542
4.73 KIPS |
|
|
Text Classification (Q)
|
97% |
1407
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4526
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4544
78.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1547
29.0 IPS |
