System manufacturer System Product Name
Geekbench AI Score
1938
Single Precision Score
926
Half Precision Score
2561
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | bstrunk |
| Upload Date | March 15 2025 04:19 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| 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 | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1468
273.0 IPS |
|
|
Image Classification (HP)
|
100% |
348
64.7 IPS |
|
|
Image Classification (Q)
|
96% |
2277
425.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
451
7.31 IPS |
|
|
Image Segmentation (Q)
|
97% |
1405
22.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3823
4.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2989
3.49 IPS |
|
|
Pose Estimation (Q)
|
86% |
5044
5.96 IPS |
|
|
Object Detection (SP)
|
100% |
1449
115.0 IPS |
|
|
Object Detection (HP)
|
100% |
429
34.0 IPS |
|
|
Object Detection (Q)
|
58% |
1699
185.7 IPS |
|
|
Face Detection (SP)
|
100% |
2839
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
944
11.2 IPS |
|
|
Face Detection (Q)
|
96% |
4992
59.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4474
34.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1457
11.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
5305
42.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8706
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7271
9.35 IPS |
|
|
Style Transfer (Q)
|
87% |
9191
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1274
47.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1246
46.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1454
53.9 IPS |
|
|
Text Classification (SP)
|
100% |
921
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
409
546.3 IPS |
|
|
Text Classification (Q)
|
97% |
778
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1129
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
453
7.80 IPS |
|
|
Machine Translation (Q)
|
68% |
1610
31.1 IPS |
