LENOVO 83KY
Geekbench AI Score
5324
Single Precision Score
8783
Half Precision Score
13474
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 04:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83KY |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3859
717.7 IPS |
|
|
Image Classification (HP)
|
100% |
6047
1.12 KIPS |
|
|
Image Classification (Q)
|
100% |
7903
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3723
60.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8262
133.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10973
177.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11046
12.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
10573
12.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
34889
40.8 IPS |
|
|
Object Detection (SP)
|
100% |
3418
271.1 IPS |
|
|
Object Detection (HP)
|
100% |
5454
432.7 IPS |
|
|
Object Detection (Q)
|
88% |
9387
752.3 IPS |
|
|
Face Detection (SP)
|
100% |
7176
85.3 IPS |
|
|
Face Detection (HP)
|
100% |
14733
175.1 IPS |
|
|
Face Detection (Q)
|
100% |
24532
291.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10278
79.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
19400
149.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
24182
188.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27218
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38012
48.9 IPS |
|
|
Style Transfer (Q)
|
98% |
80707
104.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5099
188.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8973
331.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14025
519.4 IPS |
|
|
Text Classification (SP)
|
71% |
1614
2.34 KIPS |
|
|
Text Classification (HP)
|
71% |
2544
3.68 KIPS |
|
|
Text Classification (Q)
|
92% |
2731
3.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2045
35.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3825
66.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3788
65.5 IPS |
