Micro-Star International Co., Ltd. MS-7C84
Geekbench AI Score
25031
Single Precision Score
36259
Half Precision Score
15048
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | patt368 |
| Upload Date | July 19 2025 11:06 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C84 |
| Motherboard | Micro-Star International Co., Ltd. MAG X570 TOMAHAWK WIFI (MS-7C84) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9799
1.82 KIPS |
|
|
Image Classification (HP)
|
99% |
13692
2.55 KIPS |
|
|
Image Classification (Q)
|
100% |
6600
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16162
262.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21150
342.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
12379
201.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
183361
214.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
368475
429.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
132130
154.8 IPS |
|
|
Object Detection (SP)
|
100% |
11520
913.7 IPS |
|
|
Object Detection (HP)
|
100% |
15228
1.21 KIPS |
|
|
Object Detection (Q)
|
85% |
7739
622.6 IPS |
|
|
Face Detection (SP)
|
100% |
29811
354.2 IPS |
|
|
Face Detection (HP)
|
100% |
38286
454.9 IPS |
|
|
Face Detection (Q)
|
97% |
19794
236.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
64826
499.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
106890
823.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
37378
299.3 IPS |
|
|
Style Transfer (SP)
|
100% |
281174
361.5 IPS |
|
|
Style Transfer (HP)
|
100% |
643349
827.0 IPS |
|
|
Style Transfer (Q)
|
98% |
199967
257.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39147
1.45 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55469
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22363
828.1 IPS |
|
|
Text Classification (SP)
|
100% |
2909
3.88 KIPS |
|
|
Text Classification (HP)
|
99% |
3621
4.83 KIPS |
|
|
Text Classification (Q)
|
97% |
1374
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4666
80.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4572
78.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1568
29.4 IPS |
