Generic
Geekbench AI Score
1924
Single Precision Score
1962
Half Precision Score
2048
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 07:16 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B450 Gaming-ITX/ac |
| Power Plan | AMD Ryzen High Performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1288
239.6 IPS |
|
|
Image Classification (HP)
|
100% |
1273
236.8 IPS |
|
|
Image Classification (Q)
|
100% |
1457
270.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
515
8.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
574
9.30 IPS |
|
|
Image Segmentation (Q)
|
99% |
837
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2777
3.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2828
3.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
4631
5.43 IPS |
|
|
Object Detection (SP)
|
100% |
1266
100.4 IPS |
|
|
Object Detection (HP)
|
100% |
1218
96.6 IPS |
|
|
Object Detection (Q)
|
87% |
1402
112.4 IPS |
|
|
Face Detection (SP)
|
100% |
3196
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
2702
32.1 IPS |
|
|
Face Detection (Q)
|
97% |
4294
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3325
25.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3390
26.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
3743
29.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7643
9.83 IPS |
|
|
Style Transfer (HP)
|
100% |
8317
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
8971
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1342
49.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1430
52.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1587
58.8 IPS |
|
|
Text Classification (SP)
|
100% |
1454
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1581
2.11 KIPS |
|
|
Text Classification (Q)
|
91% |
395
531.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1885
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1953
33.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1822
31.4 IPS |
