LENOVO 21FBS26Y00
Geekbench AI Score
20783
Single Precision Score
33871
Half Precision Score
16429
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 03 2024 02:43 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 3500 Ada Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | LENOVO 21FBS26Y00 |
| Motherboard | LENOVO 21FBS26Y00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13950HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8316
1.55 KIPS |
|
|
Image Classification (HP)
|
99% |
14706
2.74 KIPS |
|
|
Image Classification (Q)
|
100% |
7442
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13184
213.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17301
280.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12241
199.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
118218
137.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
327786
382.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
105500
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
10208
809.7 IPS |
|
|
Object Detection (HP)
|
100% |
17364
1.38 KIPS |
|
|
Object Detection (Q)
|
85% |
8985
723.3 IPS |
|
|
Face Detection (SP)
|
100% |
27565
327.5 IPS |
|
|
Face Detection (HP)
|
100% |
38189
453.8 IPS |
|
|
Face Detection (Q)
|
97% |
25087
299.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
47257
364.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94369
727.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
38369
306.6 IPS |
|
|
Style Transfer (SP)
|
100% |
196359
252.4 IPS |
|
|
Style Transfer (HP)
|
100% |
488498
628.0 IPS |
|
|
Style Transfer (Q)
|
98% |
173362
223.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34851
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48261
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27105
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3319
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4201
5.61 KIPS |
|
|
Text Classification (Q)
|
97% |
1791
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3841
66.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3845
66.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2049
38.4 IPS |
