R7 2700 System manufacturer System Product Name
Geekbench AI Score
1600
Single Precision Score
755
Half Precision Score
1433
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Maditgeek |
| Upload Date | January 26 2025 03:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 2700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X470-F GAMING |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 2700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1212
225.3 IPS |
|
|
Image Classification (HP)
|
100% |
278
51.7 IPS |
|
|
Image Classification (Q)
|
96% |
1274
238.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
518
8.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
336
5.45 IPS |
|
|
Image Segmentation (Q)
|
97% |
914
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2870
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2349
2.74 IPS |
|
|
Pose Estimation (Q)
|
86% |
2699
3.19 IPS |
|
|
Object Detection (SP)
|
100% |
1242
98.5 IPS |
|
|
Object Detection (HP)
|
100% |
350
27.7 IPS |
|
|
Object Detection (Q)
|
58% |
833
91.0 IPS |
|
|
Face Detection (SP)
|
100% |
2534
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
800
9.51 IPS |
|
|
Face Detection (Q)
|
96% |
2980
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3681
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1174
9.04 IPS |
|
|
Depth Estimation (Q)
|
78% |
3193
25.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6918
8.89 IPS |
|
|
Style Transfer (HP)
|
100% |
6100
7.84 IPS |
|
|
Style Transfer (Q)
|
87% |
5997
7.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1056
39.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1031
38.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
988
36.6 IPS |
|
|
Text Classification (SP)
|
100% |
715
954.1 IPS |
|
|
Text Classification (HP)
|
100% |
334
445.7 IPS |
|
|
Text Classification (Q)
|
97% |
252
338.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1011
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
400
6.89 IPS |
|
|
Machine Translation (Q)
|
68% |
987
19.1 IPS |
