Generic
Geekbench AI Score
2346
Single Precision Score
2319
Half Precision Score
2391
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 21 2025 02:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 2700X Eight-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B450 Gaming K4 |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 2700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1513
281.3 IPS |
|
|
Image Classification (HP)
|
100% |
1409
262.0 IPS |
|
|
Image Classification (Q)
|
100% |
1602
297.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
966
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
977
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2019
32.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3269
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
3188
3.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
3341
3.92 IPS |
|
|
Object Detection (SP)
|
100% |
1493
118.5 IPS |
|
|
Object Detection (HP)
|
100% |
1470
116.6 IPS |
|
|
Object Detection (Q)
|
87% |
1494
119.8 IPS |
|
|
Face Detection (SP)
|
100% |
3205
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
3176
37.7 IPS |
|
|
Face Detection (Q)
|
97% |
4927
58.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4079
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4076
31.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
4158
32.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9207
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8852
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
9664
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1863
68.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1868
69.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2019
74.8 IPS |
|
|
Text Classification (SP)
|
100% |
1493
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1526
2.04 KIPS |
|
|
Text Classification (Q)
|
91% |
461
619.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2120
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2136
36.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2057
35.4 IPS |
