System manufacturer System Product Name
Geekbench AI Score
5051
Single Precision Score
5052
Half Precision Score
6732
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Spiike |
| Upload Date | June 17 2025 12:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3001
558.2 IPS |
|
|
Image Classification (HP)
|
100% |
2970
552.3 IPS |
|
|
Image Classification (Q)
|
100% |
4330
805.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3633
58.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3642
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5273
85.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5906
6.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
5938
6.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
11692
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
2992
237.4 IPS |
|
|
Object Detection (HP)
|
100% |
3027
240.1 IPS |
|
|
Object Detection (Q)
|
87% |
4523
362.8 IPS |
|
|
Face Detection (SP)
|
100% |
9437
112.1 IPS |
|
|
Face Detection (HP)
|
100% |
9426
112.0 IPS |
|
|
Face Detection (Q)
|
97% |
13377
159.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7916
61.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7780
59.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
12841
101.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17239
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17305
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
33248
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3616
133.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3605
133.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6671
247.1 IPS |
|
|
Text Classification (SP)
|
100% |
2634
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
2624
3.50 KIPS |
|
|
Text Classification (Q)
|
91% |
977
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4582
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4649
80.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4256
73.3 IPS |
