Generic
Geekbench AI Score
1964
Single Precision Score
2098
Half Precision Score
2264
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | lcastell |
| Upload Date | December 31 2024 12:39 AM |
| Views | 1 |
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 B450M Pro4 |
| Power Plan | High performance |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1337
248.6 IPS |
|
|
Image Classification (HP)
|
100% |
1348
250.7 IPS |
|
|
Image Classification (Q)
|
100% |
1487
276.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
701
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
925
15.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1739
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3138
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2878
3.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
3157
3.70 IPS |
|
|
Object Detection (SP)
|
100% |
1309
103.8 IPS |
|
|
Object Detection (HP)
|
100% |
1314
104.2 IPS |
|
|
Object Detection (Q)
|
87% |
1456
116.8 IPS |
|
|
Face Detection (SP)
|
100% |
2591
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
2742
32.6 IPS |
|
|
Face Detection (Q)
|
97% |
4620
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3305
25.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3258
25.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
3660
28.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6371
8.19 IPS |
|
|
Style Transfer (HP)
|
100% |
8547
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
9735
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1697
62.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1725
63.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2028
75.1 IPS |
|
|
Text Classification (SP)
|
100% |
1400
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1531
2.04 KIPS |
|
|
Text Classification (Q)
|
91% |
508
683.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1718
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1741
30.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1760
30.3 IPS |
