LENOVO 21FA002AUS
Geekbench AI Score
22421
Single Precision Score
35360
Half Precision Score
16722
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | zhengshen |
| Upload Date | September 14 2024 08:48 PM |
| Views | 9 |
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% |
8958
1.67 KIPS |
|
|
Image Classification (HP)
|
99% |
14998
2.80 KIPS |
|
|
Image Classification (Q)
|
100% |
7660
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14768
239.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18590
301.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
13805
224.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
131476
153.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
347578
405.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
113558
133.0 IPS |
|
|
Object Detection (SP)
|
100% |
10901
864.7 IPS |
|
|
Object Detection (HP)
|
100% |
17317
1.37 KIPS |
|
|
Object Detection (Q)
|
89% |
8653
692.6 IPS |
|
|
Face Detection (SP)
|
100% |
27308
324.5 IPS |
|
|
Face Detection (HP)
|
100% |
37605
446.8 IPS |
|
|
Face Detection (Q)
|
97% |
23386
278.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
50368
388.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
89495
691.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
37300
300.8 IPS |
|
|
Style Transfer (SP)
|
100% |
223245
287.0 IPS |
|
|
Style Transfer (HP)
|
100% |
605096
777.9 IPS |
|
|
Style Transfer (Q)
|
98% |
207530
267.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39134
1.45 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49124
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27650
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3572
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4625
6.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1850
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3945
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3936
67.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1777
39.6 IPS |
