LENOVO 21FBA01PCD
Geekbench AI Score
21542
Single Precision Score
31689
Half Precision Score
15626
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 08:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 5000 Ada Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 21FBA01PCD |
| Motherboard | LENOVO 21FBA01PCD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13980HX |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8608
1.60 KIPS |
|
|
Image Classification (HP)
|
99% |
13091
2.44 KIPS |
|
|
Image Classification (Q)
|
100% |
6887
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14039
227.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14679
238.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11224
182.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
155109
181.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
321528
375.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
142429
166.8 IPS |
|
|
Object Detection (SP)
|
100% |
9659
766.1 IPS |
|
|
Object Detection (HP)
|
100% |
14254
1.13 KIPS |
|
|
Object Detection (Q)
|
89% |
7439
595.5 IPS |
|
|
Face Detection (SP)
|
100% |
21634
257.1 IPS |
|
|
Face Detection (HP)
|
100% |
35175
418.0 IPS |
|
|
Face Detection (Q)
|
97% |
20273
241.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
53555
412.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
82238
633.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
43745
352.8 IPS |
|
|
Style Transfer (SP)
|
100% |
263341
338.5 IPS |
|
|
Style Transfer (HP)
|
100% |
598559
769.5 IPS |
|
|
Style Transfer (Q)
|
98% |
215868
278.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36700
1.36 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53379
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26983
999.1 IPS |
|
|
Text Classification (SP)
|
100% |
2966
3.96 KIPS |
|
|
Text Classification (HP)
|
99% |
3557
4.75 KIPS |
|
|
Text Classification (Q)
|
97% |
1575
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3580
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3527
60.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1303
29.1 IPS |
