System manufacturer System Product Name
Geekbench AI Score
2188
Single Precision Score
2201
Half Precision Score
2408
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sly_ |
| Upload Date | May 19 2025 07:17 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 2700X Eight-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B450-F GAMING |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1309
243.4 IPS |
|
|
Image Classification (HP)
|
100% |
1305
242.7 IPS |
|
|
Image Classification (Q)
|
100% |
1545
287.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
939
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
933
15.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2011
32.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3189
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3189
3.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
3377
3.96 IPS |
|
|
Object Detection (SP)
|
100% |
1361
108.0 IPS |
|
|
Object Detection (HP)
|
100% |
1353
107.3 IPS |
|
|
Object Detection (Q)
|
87% |
1481
118.7 IPS |
|
|
Face Detection (SP)
|
100% |
2854
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
2856
33.9 IPS |
|
|
Face Detection (Q)
|
97% |
4887
58.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3862
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3898
30.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
4087
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8903
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9048
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
9655
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1748
64.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1798
66.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1988
73.6 IPS |
|
|
Text Classification (SP)
|
100% |
1390
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
1438
1.92 KIPS |
|
|
Text Classification (Q)
|
91% |
557
749.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1982
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1956
33.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1981
34.1 IPS |
