LENOVO 83F5
Geekbench AI Score
4581
Single Precision Score
6420
Half Precision Score
3137
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 12 2025 05:05 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83F5 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2737
509.0 IPS |
|
|
Image Classification (HP)
|
100% |
3890
723.5 IPS |
|
|
Image Classification (Q)
|
99% |
2026
377.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3491
56.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5577
90.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2351
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8420
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
15992
18.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
7463
8.74 IPS |
|
|
Object Detection (SP)
|
100% |
2878
228.3 IPS |
|
|
Object Detection (HP)
|
100% |
4529
359.2 IPS |
|
|
Object Detection (Q)
|
86% |
2188
175.9 IPS |
|
|
Face Detection (SP)
|
100% |
6240
74.1 IPS |
|
|
Face Detection (HP)
|
100% |
9722
115.5 IPS |
|
|
Face Detection (Q)
|
97% |
3964
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9301
71.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15550
120.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
6791
54.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25993
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
40221
51.7 IPS |
|
|
Style Transfer (Q)
|
98% |
20265
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4864
179.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7391
272.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3289
121.8 IPS |
|
|
Text Classification (SP)
|
100% |
1222
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
736
982.7 IPS |
|
|
Text Classification (Q)
|
97% |
713
955.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1961
33.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2292
39.6 IPS |
|
|
Machine Translation (Q)
|
70% |
928
17.4 IPS |
