LENOVO 82JW
Geekbench AI Score
2827
Single Precision Score
2764
Half Precision Score
5175
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 06:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600H with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 82JW |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Balance Mode |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2138
397.5 IPS |
|
|
Image Classification (HP)
|
100% |
2148
399.4 IPS |
|
|
Image Classification (Q)
|
100% |
3599
669.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1149
18.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2392
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4063
4.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
4175
4.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
9388
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1856
147.2 IPS |
|
|
Object Detection (HP)
|
100% |
1837
145.7 IPS |
|
|
Object Detection (Q)
|
87% |
3502
280.9 IPS |
|
|
Face Detection (SP)
|
100% |
2060
24.5 IPS |
|
|
Face Detection (HP)
|
100% |
1977
23.5 IPS |
|
|
Face Detection (Q)
|
97% |
9431
112.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5087
39.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5103
39.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
9520
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11271
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11144
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
25664
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2464
91.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2383
88.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5566
206.2 IPS |
|
|
Text Classification (SP)
|
100% |
1666
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
1784
2.38 KIPS |
|
|
Text Classification (Q)
|
91% |
1281
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3059
52.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2878
49.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2963
51.0 IPS |
