LENOVO 83KF
Geekbench AI Score
10920
Single Precision Score
24376
Half Precision Score
30505
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Astra |
| Upload Date | May 20 2025 03:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140T GPU (16GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83KF |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
7131
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
13188
2.45 KIPS |
|
|
Image Classification (Q)
|
100% |
16955
3.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9682
157.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22372
362.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
27234
441.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
25821
30.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
104852
122.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
191319
224.0 IPS |
|
|
Object Detection (SP)
|
100% |
6815
540.6 IPS |
|
|
Object Detection (HP)
|
100% |
14735
1.17 KIPS |
|
|
Object Detection (Q)
|
88% |
17627
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
13139
156.1 IPS |
|
|
Face Detection (HP)
|
100% |
26507
315.0 IPS |
|
|
Face Detection (Q)
|
100% |
34256
407.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
23136
178.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51368
395.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
68631
533.5 IPS |
|
|
Style Transfer (SP)
|
100% |
64215
82.5 IPS |
|
|
Style Transfer (HP)
|
100% |
172753
222.1 IPS |
|
|
Style Transfer (Q)
|
98% |
283483
365.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10543
389.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30974
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38439
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
3222
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4276
5.71 KIPS |
|
|
Text Classification (Q)
|
92% |
3221
4.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2993
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5216
89.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5431
93.6 IPS |
