LENOVO 21FACTO1WW
Geekbench AI Score
21489
Single Precision Score
35040
Half Precision Score
17008
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 22 2025 08:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 3500 Ada Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | LENOVO 21FACTO1WW |
| Motherboard | LENOVO 21FACTO1WW |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7970
1.48 KIPS |
|
|
Image Classification (HP)
|
99% |
13476
2.51 KIPS |
|
|
Image Classification (Q)
|
100% |
7640
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15170
245.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21404
347.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
14275
232.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
118435
138.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
346449
404.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
108691
127.3 IPS |
|
|
Object Detection (SP)
|
100% |
10263
814.1 IPS |
|
|
Object Detection (HP)
|
100% |
16967
1.35 KIPS |
|
|
Object Detection (Q)
|
85% |
9079
730.9 IPS |
|
|
Face Detection (SP)
|
100% |
29862
354.8 IPS |
|
|
Face Detection (HP)
|
100% |
44419
527.8 IPS |
|
|
Face Detection (Q)
|
97% |
26260
313.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
51602
397.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
96860
746.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
41079
328.2 IPS |
|
|
Style Transfer (SP)
|
100% |
193329
248.5 IPS |
|
|
Style Transfer (HP)
|
100% |
479663
616.6 IPS |
|
|
Style Transfer (Q)
|
98% |
176168
227.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35578
1.31 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47228
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26118
967.1 IPS |
|
|
Text Classification (SP)
|
100% |
3257
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
4047
5.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1739
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4140
71.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4173
71.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2181
40.9 IPS |
