Ryzen 9 5900XT with 64GB of 3600 DDR4, OC'd to 3733 Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
7128
Single Precision Score
7103
Half Precision Score
9164
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | darronb |
| Upload Date | December 21 2024 02:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900XT 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING PLUS (MS-7C56) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900XT 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4117
765.7 IPS |
|
|
Image Classification (HP)
|
100% |
3911
727.4 IPS |
|
|
Image Classification (Q)
|
100% |
6060
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5342
86.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5471
88.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9583
155.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12458
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
12705
14.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
27009
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
4308
341.7 IPS |
|
|
Object Detection (HP)
|
100% |
4506
357.4 IPS |
|
|
Object Detection (Q)
|
87% |
7026
563.5 IPS |
|
|
Face Detection (SP)
|
100% |
11020
130.9 IPS |
|
|
Face Detection (HP)
|
100% |
10421
123.8 IPS |
|
|
Face Detection (Q)
|
97% |
21834
260.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12695
97.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12572
96.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
22951
181.2 IPS |
|
|
Style Transfer (SP)
|
100% |
35446
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35876
46.1 IPS |
|
|
Style Transfer (Q)
|
98% |
75382
97.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6895
254.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7037
259.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13123
486.1 IPS |
|
|
Text Classification (SP)
|
100% |
3102
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
2955
3.94 KIPS |
|
|
Text Classification (Q)
|
91% |
281
378.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2706
46.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2731
47.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2721
46.9 IPS |
