LENOVO 82JD
Geekbench AI Score
16361
Single Precision Score
27416
Half Precision Score
10908
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | pom8646 |
| Upload Date | April 21 2025 08:03 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 82JD |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Balance Mode |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6654
1.24 KIPS |
|
|
Image Classification (HP)
|
99% |
10234
1.91 KIPS |
|
|
Image Classification (Q)
|
100% |
4882
907.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
11652
188.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
17423
282.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9189
149.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
78445
91.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
244922
285.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
65708
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
8088
641.5 IPS |
|
|
Object Detection (HP)
|
100% |
14058
1.12 KIPS |
|
|
Object Detection (Q)
|
85% |
6189
498.2 IPS |
|
|
Face Detection (SP)
|
100% |
20825
247.4 IPS |
|
|
Face Detection (HP)
|
100% |
32734
388.9 IPS |
|
|
Face Detection (Q)
|
97% |
16160
192.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
37964
292.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
76471
589.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
26342
210.8 IPS |
|
|
Style Transfer (SP)
|
100% |
140421
180.5 IPS |
|
|
Style Transfer (HP)
|
100% |
350425
450.5 IPS |
|
|
Style Transfer (Q)
|
98% |
109952
141.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26481
977.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37117
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15690
581.0 IPS |
|
|
Text Classification (SP)
|
100% |
2576
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
3233
4.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1282
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3691
63.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3713
64.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1389
26.1 IPS |
