Micro-Star International Co., Ltd. MS-7C84
Geekbench AI Score
28527
Single Precision Score
30862
Half Precision Score
21313
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 02:45 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6950 XT |
| 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 | Optimala prestanda |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12112
2.25 KIPS |
|
|
Image Classification (HP)
|
100% |
11873
2.21 KIPS |
|
|
Image Classification (Q)
|
100% |
9460
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17205
278.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12785
207.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15546
252.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
202543
236.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
308639
360.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
169335
198.4 IPS |
|
|
Object Detection (SP)
|
100% |
12235
970.5 IPS |
|
|
Object Detection (HP)
|
100% |
12292
975.0 IPS |
|
|
Object Detection (Q)
|
89% |
10140
812.0 IPS |
|
|
Face Detection (SP)
|
100% |
34323
407.8 IPS |
|
|
Face Detection (HP)
|
100% |
36595
434.8 IPS |
|
|
Face Detection (Q)
|
97% |
26469
315.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
70014
539.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
77948
600.5 IPS |
|
|
Depth Estimation (Q)
|
73% |
50990
416.3 IPS |
|
|
Style Transfer (SP)
|
100% |
358579
461.0 IPS |
|
|
Style Transfer (HP)
|
100% |
476391
612.4 IPS |
|
|
Style Transfer (Q)
|
98% |
292320
376.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41898
1.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49755
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31137
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3801
5.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3911
5.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2475
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5037
86.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5148
88.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2520
56.2 IPS |
