System manufacturer System Product Name
Geekbench AI Score
5766
Single Precision Score
5780
Half Precision Score
8361
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 08:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 4.45 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4013
746.2 IPS |
|
|
Image Classification (HP)
|
100% |
3989
741.8 IPS |
|
|
Image Classification (Q)
|
100% |
5612
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4021
65.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4092
66.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5981
97.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7261
8.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
7236
8.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
14807
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
3435
272.5 IPS |
|
|
Object Detection (HP)
|
100% |
3462
274.6 IPS |
|
|
Object Detection (Q)
|
87% |
5432
435.7 IPS |
|
|
Face Detection (SP)
|
100% |
6626
78.7 IPS |
|
|
Face Detection (HP)
|
100% |
6691
79.5 IPS |
|
|
Face Detection (Q)
|
97% |
15923
189.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8548
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8607
66.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
16144
127.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21144
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21082
27.1 IPS |
|
|
Style Transfer (Q)
|
98% |
42150
54.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4707
173.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4689
173.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8610
318.9 IPS |
|
|
Text Classification (SP)
|
100% |
3625
4.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3603
4.81 KIPS |
|
|
Text Classification (Q)
|
91% |
1321
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4941
85.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4968
85.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5019
86.5 IPS |
