Micro-Star International Co., Ltd. MS-7D52
Geekbench AI Score
29694
Single Precision Score
32176
Half Precision Score
22118
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | September 20 2024 03:21 AM |
| Views | 18 |
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-7D52 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570S CARBON MAX WIFI (MS-7D52) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12547
2.33 KIPS |
|
|
Image Classification (HP)
|
100% |
11923
2.22 KIPS |
|
|
Image Classification (Q)
|
100% |
9862
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18511
300.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15351
248.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15576
253.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
206967
241.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
320075
373.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
176763
207.1 IPS |
|
|
Object Detection (SP)
|
100% |
12652
1.00 KIPS |
|
|
Object Detection (HP)
|
100% |
12505
991.9 IPS |
|
|
Object Detection (Q)
|
89% |
10587
847.8 IPS |
|
|
Face Detection (SP)
|
100% |
35057
416.6 IPS |
|
|
Face Detection (HP)
|
100% |
37740
448.4 IPS |
|
|
Face Detection (Q)
|
97% |
26804
319.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
73552
566.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
81288
626.3 IPS |
|
|
Depth Estimation (Q)
|
73% |
53702
438.4 IPS |
|
|
Style Transfer (SP)
|
100% |
381321
490.2 IPS |
|
|
Style Transfer (HP)
|
100% |
499977
642.7 IPS |
|
|
Style Transfer (Q)
|
98% |
302365
389.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43993
1.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50873
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32216
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
4145
5.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4155
5.55 KIPS |
|
|
Text Classification (Q)
|
97% |
2763
3.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4888
84.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5008
86.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2516
56.1 IPS |
