LENOVO 83DG
Geekbench AI Score
17185
Single Precision Score
28145
Half Precision Score
13737
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 07:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro N for Workstations (64-bit) |
| Model | LENOVO 83DG |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14650HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6903
1.28 KIPS |
|
|
Image Classification (HP)
|
99% |
12135
2.26 KIPS |
|
|
Image Classification (Q)
|
99% |
6376
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10791
174.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13533
219.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9928
161.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
97580
113.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
249001
290.5 IPS |
|
|
Pose Estimation (Q)
|
88% |
86379
101.8 IPS |
|
|
Object Detection (SP)
|
100% |
8413
667.3 IPS |
|
|
Object Detection (HP)
|
100% |
14951
1.19 KIPS |
|
|
Object Detection (Q)
|
84% |
7557
609.5 IPS |
|
|
Face Detection (SP)
|
100% |
20351
241.8 IPS |
|
|
Face Detection (HP)
|
100% |
29015
344.8 IPS |
|
|
Face Detection (Q)
|
97% |
17997
214.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
39919
307.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
81317
626.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
33221
265.8 IPS |
|
|
Style Transfer (SP)
|
100% |
151207
194.4 IPS |
|
|
Style Transfer (HP)
|
100% |
366287
470.9 IPS |
|
|
Style Transfer (Q)
|
98% |
135015
174.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27881
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43666
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21110
781.7 IPS |
|
|
Text Classification (SP)
|
100% |
3371
4.50 KIPS |
|
|
Text Classification (HP)
|
99% |
3981
5.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1957
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3183
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3397
58.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1737
32.6 IPS |
