System manufacturer System Product Name
Geekbench AI Score
4006
Single Precision Score
3971
Half Precision Score
4432
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 08:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B350-PLUS |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2680
498.5 IPS |
|
|
Image Classification (HP)
|
100% |
2594
482.5 IPS |
|
|
Image Classification (Q)
|
100% |
2982
554.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1225
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1237
20.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3508
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6749
7.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
6726
7.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
7159
8.40 IPS |
|
|
Object Detection (SP)
|
100% |
2508
199.0 IPS |
|
|
Object Detection (HP)
|
100% |
2559
203.0 IPS |
|
|
Object Detection (Q)
|
87% |
2937
235.6 IPS |
|
|
Face Detection (SP)
|
100% |
5369
63.8 IPS |
|
|
Face Detection (HP)
|
100% |
4996
59.4 IPS |
|
|
Face Detection (Q)
|
97% |
9497
113.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7295
56.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7186
55.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
8096
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18733
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18888
24.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20189
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3799
140.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3768
139.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4078
151.1 IPS |
|
|
Text Classification (SP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (Q)
|
91% |
735
988.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2827
48.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2838
48.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2861
49.3 IPS |
