Generic
Geekbench AI Score
2077
Single Precision Score
2077
Half Precision Score
2065
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Esen |
| Upload Date | December 05 2025 02:16 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 1700 Eight-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock AB350 Pro4 |
| 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% |
1339
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
1316
244.8 IPS |
|
|
Image Classification (Q)
|
100% |
1347
250.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
822
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
822
13.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1709
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2774
3.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2769
3.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
2822
3.31 IPS |
|
|
Object Detection (SP)
|
100% |
1292
102.5 IPS |
|
|
Object Detection (HP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (Q)
|
87% |
1267
101.6 IPS |
|
|
Face Detection (SP)
|
100% |
3203
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (Q)
|
97% |
4186
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3530
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3543
27.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
3506
27.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7886
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7931
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8149
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1643
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1628
60.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1713
63.5 IPS |
|
|
Text Classification (SP)
|
100% |
1304
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1341
1.79 KIPS |
|
|
Text Classification (Q)
|
91% |
441
592.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1991
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1959
33.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1903
32.8 IPS |
