System manufacturer System Product Name
Geekbench AI Score
4866
Single Precision Score
4911
Half Precision Score
7245
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | The-Idle-Crow |
| Upload Date | August 15 2024 07:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| Power Plan | AMD Ryzen High Performance |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3265
607.2 IPS |
|
|
Image Classification (HP)
|
100% |
3236
601.8 IPS |
|
|
Image Classification (Q)
|
100% |
5372
999.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2545
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2614
42.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5756
93.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9082
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9594
11.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
21483
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
3743
296.9 IPS |
|
|
Object Detection (HP)
|
100% |
3562
282.5 IPS |
|
|
Object Detection (Q)
|
87% |
5999
481.1 IPS |
|
|
Face Detection (SP)
|
100% |
8759
104.1 IPS |
|
|
Face Detection (HP)
|
100% |
8337
99.1 IPS |
|
|
Face Detection (Q)
|
97% |
18504
220.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9912
76.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
10145
78.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
18859
149.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27984
36.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27955
35.9 IPS |
|
|
Style Transfer (Q)
|
98% |
59953
77.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5474
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5449
201.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10794
399.8 IPS |
|
|
Text Classification (SP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
859
1.15 KIPS |
|
|
Text Classification (Q)
|
91% |
283
380.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2540
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2552
44.0 IPS |
|
|
Machine Translation (Q)
|
90% |
1566
27.2 IPS |
