LENOVO 83JH
Geekbench AI Score
20469
Single Precision Score
38023
Half Precision Score
15913
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 04:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83JH |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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% |
8318
1.55 KIPS |
|
|
Image Classification (HP)
|
100% |
16241
3.02 KIPS |
|
|
Image Classification (Q)
|
100% |
7723
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14680
238.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21423
347.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13585
220.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
101148
118.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
314313
366.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
86112
100.9 IPS |
|
|
Object Detection (SP)
|
100% |
10902
864.8 IPS |
|
|
Object Detection (HP)
|
100% |
19255
1.53 KIPS |
|
|
Object Detection (Q)
|
83% |
9513
768.6 IPS |
|
|
Face Detection (SP)
|
100% |
25645
304.7 IPS |
|
|
Face Detection (HP)
|
100% |
44872
533.2 IPS |
|
|
Face Detection (Q)
|
97% |
24028
286.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
47904
369.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99479
766.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
38051
303.7 IPS |
|
|
Style Transfer (SP)
|
100% |
156212
200.8 IPS |
|
|
Style Transfer (HP)
|
100% |
493027
633.8 IPS |
|
|
Style Transfer (Q)
|
98% |
132779
171.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30640
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59062
2.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24162
894.7 IPS |
|
|
Text Classification (SP)
|
100% |
3369
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4231
5.65 KIPS |
|
|
Text Classification (Q)
|
97% |
2207
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4842
83.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5455
94.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1872
35.1 IPS |
