System manufacturer System Product Name
Geekbench AI Score
4832
Single Precision Score
4851
Half Precision Score
6416
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Spiike |
| Upload Date | July 14 2025 12:11 PM |
| Views | 9 |
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 | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2899
539.1 IPS |
|
|
Image Classification (HP)
|
100% |
2897
538.7 IPS |
|
|
Image Classification (Q)
|
100% |
4102
762.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3475
56.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3566
57.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4965
80.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5628
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
5613
6.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
11037
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
2891
229.3 IPS |
|
|
Object Detection (HP)
|
100% |
2864
227.2 IPS |
|
|
Object Detection (Q)
|
87% |
4267
342.3 IPS |
|
|
Face Detection (SP)
|
100% |
9077
107.9 IPS |
|
|
Face Detection (HP)
|
100% |
9198
109.3 IPS |
|
|
Face Detection (Q)
|
97% |
12632
150.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7437
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7458
57.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
12152
95.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16430
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16464
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
31329
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3461
127.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3437
126.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6350
235.2 IPS |
|
|
Text Classification (SP)
|
100% |
2550
3.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2554
3.41 KIPS |
|
|
Text Classification (Q)
|
91% |
951
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4330
74.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4389
75.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4250
73.2 IPS |
