Lenovo LOQ 15IRX10 LENOVO 83JE
Geekbench AI Score
17118
Single Precision Score
33883
Half Precision Score
13207
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | December 03 2025 06:16 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83JE |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7114
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
15039
2.80 KIPS |
|
|
Image Classification (Q)
|
99% |
6518
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12604
204.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19220
311.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11443
186.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
77618
90.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
252258
294.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
70454
82.5 IPS |
|
|
Object Detection (SP)
|
100% |
8256
654.9 IPS |
|
|
Object Detection (HP)
|
100% |
17128
1.36 KIPS |
|
|
Object Detection (Q)
|
87% |
8184
656.8 IPS |
|
|
Face Detection (SP)
|
100% |
22504
267.4 IPS |
|
|
Face Detection (HP)
|
100% |
40373
479.7 IPS |
|
|
Face Detection (Q)
|
97% |
19788
235.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
38715
298.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
92803
715.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
30993
247.8 IPS |
|
|
Style Transfer (SP)
|
100% |
126202
162.2 IPS |
|
|
Style Transfer (HP)
|
100% |
398875
512.8 IPS |
|
|
Style Transfer (Q)
|
98% |
106340
137.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20720
765.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47530
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17597
651.6 IPS |
|
|
Text Classification (SP)
|
100% |
3484
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4330
5.78 KIPS |
|
|
Text Classification (Q)
|
97% |
1905
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4739
81.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5193
89.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1718
32.2 IPS |
