LENOVO 21FBA01PCD
Geekbench AI Score
1635
Single Precision Score
1715
Half Precision Score
1078
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 08:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
715
133.0 IPS |
|
|
Image Classification (HP)
|
100% |
711
132.2 IPS |
|
|
Image Classification (Q)
|
99% |
561
104.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1044
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1177
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
801
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4207
4.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
5346
6.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
3071
3.60 IPS |
|
|
Object Detection (SP)
|
100% |
775
61.5 IPS |
|
|
Object Detection (HP)
|
98% |
665
52.9 IPS |
|
|
Object Detection (Q)
|
89% |
608
48.6 IPS |
|
|
Face Detection (SP)
|
100% |
1492
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
1611
19.1 IPS |
|
|
Face Detection (Q)
|
97% |
1061
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3024
23.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3373
26.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
2194
17.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10964
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15273
19.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8383
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1838
67.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2596
95.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
953
35.3 IPS |
|
|
Text Classification (SP)
|
100% |
858
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
496
662.7 IPS |
|
|
Text Classification (Q)
|
97% |
421
563.7 IPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
693
11.9 IPS |
|
|
Machine Translation (Q)
|
60% |
323
7.20 IPS |
