LENOVO 83KF
Geekbench AI Score
10503
Single Precision Score
24894
Half Precision Score
31534
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 17 2025 12:09 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140T GPU (16GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83KF |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7215
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
13508
2.51 KIPS |
|
|
Image Classification (Q)
|
100% |
17601
3.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8999
145.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22701
368.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
27751
449.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24961
29.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
98805
115.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
181667
212.7 IPS |
|
|
Object Detection (SP)
|
100% |
6573
521.4 IPS |
|
|
Object Detection (HP)
|
100% |
15392
1.22 KIPS |
|
|
Object Detection (Q)
|
88% |
18593
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
12152
144.4 IPS |
|
|
Face Detection (HP)
|
100% |
28483
338.4 IPS |
|
|
Face Detection (Q)
|
100% |
40725
483.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20237
155.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
51479
396.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
70115
545.0 IPS |
|
|
Style Transfer (SP)
|
100% |
61316
78.8 IPS |
|
|
Style Transfer (HP)
|
100% |
166218
213.7 IPS |
|
|
Style Transfer (Q)
|
98% |
270373
348.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10382
383.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31609
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39722
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
3069
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4429
5.91 KIPS |
|
|
Text Classification (Q)
|
92% |
3150
4.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3194
55.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5745
99.3 IPS |
|
|
Machine Translation (Q)
|
100% |
6101
105.1 IPS |
