LENOVO 21FA002AUS
Geekbench AI Score
22488
Single Precision Score
35441
Half Precision Score
16689
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | zhengshen |
| Upload Date | September 14 2024 08:40 PM |
| Views | 28 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 4000 Ada Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21FA002AUS |
| Motherboard | LENOVO 21FA002AUS |
| 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% |
8658
1.61 KIPS |
|
|
Image Classification (HP)
|
99% |
14586
2.72 KIPS |
|
|
Image Classification (Q)
|
100% |
7544
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14653
237.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17759
287.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
13456
218.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
124556
145.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
342608
399.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
113009
132.3 IPS |
|
|
Object Detection (SP)
|
100% |
11288
895.3 IPS |
|
|
Object Detection (HP)
|
100% |
17556
1.39 KIPS |
|
|
Object Detection (Q)
|
89% |
9041
723.7 IPS |
|
|
Face Detection (SP)
|
100% |
27510
326.9 IPS |
|
|
Face Detection (HP)
|
100% |
37971
451.2 IPS |
|
|
Face Detection (Q)
|
97% |
22529
268.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
51884
399.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
90574
699.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
38963
314.3 IPS |
|
|
Style Transfer (SP)
|
100% |
236141
303.6 IPS |
|
|
Style Transfer (HP)
|
100% |
616504
792.5 IPS |
|
|
Style Transfer (Q)
|
98% |
200004
257.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38661
1.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51009
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28281
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3535
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4596
6.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1830
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4026
69.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4038
69.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1779
39.7 IPS |
