Generic
Geekbench AI Score
2057
Single Precision Score
2077
Half Precision Score
2118
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | bormolino |
| Upload Date | January 09 2025 11:48 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 2700 Eight-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B450 Gaming K4 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 2700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1338
248.8 IPS |
|
|
Image Classification (HP)
|
100% |
1307
243.1 IPS |
|
|
Image Classification (Q)
|
100% |
1361
253.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
833
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
832
13.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1691
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2731
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2754
3.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
2888
3.39 IPS |
|
|
Object Detection (SP)
|
100% |
1229
97.5 IPS |
|
|
Object Detection (HP)
|
100% |
1302
103.3 IPS |
|
|
Object Detection (Q)
|
87% |
1267
101.6 IPS |
|
|
Face Detection (SP)
|
100% |
3204
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
3173
37.7 IPS |
|
|
Face Detection (Q)
|
97% |
4263
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3513
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3563
27.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
3571
28.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7593
9.76 IPS |
|
|
Style Transfer (HP)
|
100% |
7762
9.98 IPS |
|
|
Style Transfer (Q)
|
98% |
8312
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1618
59.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1651
61.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1762
65.3 IPS |
|
|
Text Classification (SP)
|
100% |
1451
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1468
1.96 KIPS |
|
|
Text Classification (Q)
|
91% |
527
707.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1807
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1807
31.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1836
31.6 IPS |
