1873-S-P-O-O-F-E-R-29246 1873-S-P-O-O-F-E-R-29246
Geekbench AI Score
1459
Single Precision Score
692
Half Precision Score
1387
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ngocanh198 |
| Upload Date | March 27 2026 04:34 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 1700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | 1873-S-P-O-O-F-E-R-29246 1873-S-P-O-O-F-E-R-29246 |
| Motherboard | 1877-S-P-O-O-F-E-R-7226 1877-S-P-O-O-F-E-R-7226 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 1700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
937
174.3 IPS |
|
|
Image Classification (HP)
|
100% |
250
46.5 IPS |
|
|
Image Classification (Q)
|
96% |
970
181.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
452
7.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
273
4.43 IPS |
|
|
Image Segmentation (Q)
|
97% |
1058
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2420
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1915
2.23 IPS |
|
|
Pose Estimation (Q)
|
86% |
2537
3.00 IPS |
|
|
Object Detection (SP)
|
100% |
1147
91.0 IPS |
|
|
Object Detection (HP)
|
100% |
346
27.4 IPS |
|
|
Object Detection (Q)
|
58% |
799
87.3 IPS |
|
|
Face Detection (SP)
|
100% |
2748
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
782
9.30 IPS |
|
|
Face Detection (Q)
|
96% |
2764
33.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2862
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1113
8.58 IPS |
|
|
Depth Estimation (Q)
|
78% |
3103
24.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6446
8.29 IPS |
|
|
Style Transfer (HP)
|
100% |
5540
7.12 IPS |
|
|
Style Transfer (Q)
|
87% |
5910
7.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1007
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
742
27.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1076
39.9 IPS |
|
|
Text Classification (SP)
|
100% |
749
999.9 IPS |
|
|
Text Classification (HP)
|
100% |
344
458.9 IPS |
|
|
Text Classification (Q)
|
97% |
248
332.2 IPS |
|
|
Machine Translation (SP)
|
100% |
973
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
458
7.89 IPS |
|
|
Machine Translation (Q)
|
68% |
943
18.2 IPS |
