Generic
Geekbench AI Score
1250
Single Precision Score
650
Half Precision Score
1386
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | szaki |
| Upload Date | October 26 2025 01:29 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 1700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X370 Killer SLI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 1700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.59 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
885
164.5 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.7 IPS |
|
|
Image Classification (Q)
|
96% |
1154
215.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
564
9.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
341
5.53 IPS |
|
|
Image Segmentation (Q)
|
97% |
1199
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1914
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1563
1.82 IPS |
|
|
Pose Estimation (Q)
|
86% |
2340
2.77 IPS |
|
|
Object Detection (SP)
|
100% |
849
67.4 IPS |
|
|
Object Detection (HP)
|
100% |
318
25.2 IPS |
|
|
Object Detection (Q)
|
58% |
779
85.1 IPS |
|
|
Face Detection (SP)
|
100% |
2276
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
750
8.91 IPS |
|
|
Face Detection (Q)
|
96% |
2680
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2411
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
946
7.28 IPS |
|
|
Depth Estimation (Q)
|
78% |
2676
21.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4785
6.15 IPS |
|
|
Style Transfer (HP)
|
100% |
4059
5.22 IPS |
|
|
Style Transfer (Q)
|
87% |
5595
7.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
780
28.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
715
26.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1090
40.4 IPS |
|
|
Text Classification (SP)
|
100% |
631
841.6 IPS |
|
|
Text Classification (HP)
|
100% |
338
450.8 IPS |
|
|
Text Classification (Q)
|
97% |
240
322.0 IPS |
|
|
Machine Translation (SP)
|
100% |
889
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
440
7.57 IPS |
|
|
Machine Translation (Q)
|
68% |
995
19.2 IPS |
