LENOVO 83F5
Geekbench AI Score
30521
Single Precision Score
52874
Half Precision Score
23649
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 26 2025 08:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83F5 |
| 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% |
12221
2.27 KIPS |
|
|
Image Classification (HP)
|
100% |
20299
3.77 KIPS |
|
|
Image Classification (Q)
|
100% |
11301
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23438
380.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
34599
560.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
20829
338.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
168445
196.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
489184
570.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
149926
175.6 IPS |
|
|
Object Detection (SP)
|
100% |
15338
1.22 KIPS |
|
|
Object Detection (HP)
|
100% |
25389
2.01 KIPS |
|
|
Object Detection (Q)
|
86% |
12974
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
44886
533.3 IPS |
|
|
Face Detection (HP)
|
100% |
66808
793.8 IPS |
|
|
Face Detection (Q)
|
97% |
37988
452.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
73351
565.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
142770
1.10 KIPS |
|
|
Depth Estimation (Q)
|
78% |
56896
454.5 IPS |
|
|
Style Transfer (SP)
|
100% |
265840
341.7 IPS |
|
|
Style Transfer (HP)
|
100% |
888509
1.14 KIPS |
|
|
Style Transfer (Q)
|
98% |
228935
295.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42324
1.56 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71510
2.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33915
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3831
5.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4871
6.50 KIPS |
|
|
Text Classification (Q)
|
97% |
2371
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
6679
115.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6633
114.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3004
56.4 IPS |
