LENOVO 82XF
Geekbench AI Score
1641
Single Precision Score
1585
Half Precision Score
3914
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 15 2025 08:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 82XF |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
585
108.8 IPS |
|
|
Image Classification (HP)
|
100% |
613
114.0 IPS |
|
|
Image Classification (Q)
|
100% |
2514
467.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1448
23.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2739
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2308
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
1649
1.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
8451
9.90 IPS |
|
|
Object Detection (SP)
|
100% |
1118
88.7 IPS |
|
|
Object Detection (HP)
|
100% |
1133
89.8 IPS |
|
|
Object Detection (Q)
|
88% |
2849
228.4 IPS |
|
|
Face Detection (SP)
|
100% |
3675
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
3543
42.1 IPS |
|
|
Face Detection (Q)
|
100% |
6750
80.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2837
21.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1740
13.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
4404
34.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4467
5.74 IPS |
|
|
Style Transfer (HP)
|
100% |
6630
8.52 IPS |
|
|
Style Transfer (Q)
|
98% |
22768
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1358
50.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1333
49.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4314
159.8 IPS |
|
|
Text Classification (SP)
|
100% |
1089
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1116
1.49 KIPS |
|
|
Text Classification (Q)
|
92% |
1684
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
936
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
996
17.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1036
17.8 IPS |
