LENOVO 83DG
Geekbench AI Score
19683
Single Precision Score
32236
Half Precision Score
15279
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TZBQWEAS |
| Upload Date | March 21 2025 03:18 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83DG |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700HX |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7706
1.43 KIPS |
|
|
Image Classification (HP)
|
99% |
13556
2.53 KIPS |
|
|
Image Classification (Q)
|
100% |
6988
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14313
232.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17857
289.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12483
203.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
101484
118.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
279776
326.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
95799
112.2 IPS |
|
|
Object Detection (SP)
|
100% |
9637
764.4 IPS |
|
|
Object Detection (HP)
|
100% |
16154
1.28 KIPS |
|
|
Object Detection (Q)
|
85% |
8413
677.3 IPS |
|
|
Face Detection (SP)
|
100% |
24029
285.5 IPS |
|
|
Face Detection (HP)
|
100% |
37426
444.7 IPS |
|
|
Face Detection (Q)
|
97% |
21070
251.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
47338
364.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
84752
653.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
37691
301.2 IPS |
|
|
Style Transfer (SP)
|
100% |
182267
234.3 IPS |
|
|
Style Transfer (HP)
|
100% |
419323
539.0 IPS |
|
|
Style Transfer (Q)
|
98% |
149451
192.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33064
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50589
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24677
913.8 IPS |
|
|
Text Classification (SP)
|
100% |
3146
4.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4085
5.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1781
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3752
64.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4030
69.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1891
35.5 IPS |
