Generic
Geekbench AI Score
2121
Single Precision Score
2131
Half Precision Score
2207
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | szaki |
| Upload Date | October 26 2025 01:32 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 1700X Eight-Core Processor |
| 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% |
1417
263.5 IPS |
|
|
Image Classification (HP)
|
100% |
1348
250.7 IPS |
|
|
Image Classification (Q)
|
100% |
1460
271.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
871
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
811
13.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1912
31.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2887
3.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2832
3.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
3106
3.64 IPS |
|
|
Object Detection (SP)
|
100% |
1274
101.1 IPS |
|
|
Object Detection (HP)
|
100% |
1399
111.0 IPS |
|
|
Object Detection (Q)
|
87% |
1406
112.8 IPS |
|
|
Face Detection (SP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
3158
37.5 IPS |
|
|
Face Detection (Q)
|
97% |
3832
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3649
28.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3746
28.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
3849
30.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7784
10.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8367
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
8891
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1557
57.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1616
59.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1875
69.5 IPS |
|
|
Text Classification (SP)
|
100% |
1427
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
1424
1.90 KIPS |
|
|
Text Classification (Q)
|
91% |
470
632.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1970
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1965
33.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1953
33.6 IPS |
