LENOVO 91DF003HJM
Geekbench AI Score
18481
Single Precision Score
33329
Half Precision Score
14568
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 22 2025 06:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 91DF003HJM |
| Motherboard | LENOVO 3799 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8745HX with Radeon Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8045
1.50 KIPS |
|
|
Image Classification (HP)
|
100% |
14643
2.72 KIPS |
|
|
Image Classification (Q)
|
99% |
7307
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10855
176.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14487
234.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10013
162.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
99509
116.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
311000
362.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
81778
95.8 IPS |
|
|
Object Detection (SP)
|
100% |
10494
832.4 IPS |
|
|
Object Detection (HP)
|
100% |
16936
1.34 KIPS |
|
|
Object Detection (Q)
|
83% |
9085
734.0 IPS |
|
|
Face Detection (SP)
|
100% |
23701
281.6 IPS |
|
|
Face Detection (HP)
|
100% |
38458
457.0 IPS |
|
|
Face Detection (Q)
|
97% |
20921
249.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
47998
369.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
102034
786.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
39469
315.6 IPS |
|
|
Style Transfer (SP)
|
100% |
149577
192.3 IPS |
|
|
Style Transfer (HP)
|
100% |
510660
656.5 IPS |
|
|
Style Transfer (Q)
|
98% |
125675
162.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28118
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53728
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21866
809.7 IPS |
|
|
Text Classification (SP)
|
100% |
3167
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
3925
5.24 KIPS |
|
|
Text Classification (Q)
|
97% |
2125
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3364
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3583
61.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1643
30.8 IPS |
