LENOVO 82SJ
Geekbench AI Score
3317
Single Precision Score
3303
Half Precision Score
5839
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | allanburk |
| Upload Date | January 01 2025 01:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 6600HS Creator Edition |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82SJ |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Hg prestanda |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 6600HS Creator Edition |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2492
463.5 IPS |
|
|
Image Classification (HP)
|
100% |
2402
446.6 IPS |
|
|
Image Classification (Q)
|
100% |
3896
724.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
816
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
837
13.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3589
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4785
5.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
4830
5.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
9693
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
2236
177.4 IPS |
|
|
Object Detection (HP)
|
100% |
2271
180.1 IPS |
|
|
Object Detection (Q)
|
87% |
3970
318.4 IPS |
|
|
Face Detection (SP)
|
100% |
4751
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
4691
55.7 IPS |
|
|
Face Detection (Q)
|
97% |
10737
128.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5922
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5953
45.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
10519
83.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12356
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12600
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27246
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2709
100.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2770
102.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5921
219.3 IPS |
|
|
Text Classification (SP)
|
100% |
2379
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (Q)
|
91% |
1427
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3317
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3046
52.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3298
56.8 IPS |
