System manufacturer System Product Name
Geekbench AI Score
1793
Single Precision Score
946
Half Precision Score
1573
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 20 2024 03:32 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 2700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF B450M-PRO GAMING |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 2700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1026
190.8 IPS |
|
|
Image Classification (HP)
|
100% |
336
62.4 IPS |
|
|
Image Classification (Q)
|
96% |
1247
232.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
445
7.21 IPS |
|
|
Image Segmentation (Q)
|
97% |
1156
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3533
4.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
2945
3.44 IPS |
|
|
Pose Estimation (Q)
|
87% |
3357
3.97 IPS |
|
|
Object Detection (SP)
|
100% |
1266
100.4 IPS |
|
|
Object Detection (HP)
|
100% |
441
35.0 IPS |
|
|
Object Detection (Q)
|
86% |
904
72.6 IPS |
|
|
Face Detection (SP)
|
100% |
1782
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
962
11.4 IPS |
|
|
Face Detection (Q)
|
96% |
2295
27.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4066
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1466
11.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
2854
22.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8785
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7878
10.1 IPS |
|
|
Style Transfer (Q)
|
87% |
7499
9.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1394
51.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1349
49.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1255
46.5 IPS |
|
|
Text Classification (SP)
|
100% |
972
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
420
561.1 IPS |
|
|
Text Classification (Q)
|
97% |
318
426.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1346
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
472
8.14 IPS |
|
|
Machine Translation (Q)
|
60% |
1086
24.2 IPS |
