LENOVO 21FBA01PCD
Geekbench AI Score
2919
Single Precision Score
1021
Half Precision Score
3474
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 08:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13980HX |
| 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% |
1597
297.0 IPS |
|
|
Image Classification (HP)
|
100% |
340
63.3 IPS |
|
|
Image Classification (Q)
|
99% |
2712
505.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
764
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2340
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6749
7.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2908
3.39 IPS |
|
|
Pose Estimation (Q)
|
95% |
21004
24.6 IPS |
|
|
Object Detection (SP)
|
100% |
1819
144.3 IPS |
|
|
Object Detection (HP)
|
100% |
461
36.6 IPS |
|
|
Object Detection (Q)
|
88% |
1607
128.8 IPS |
|
|
Face Detection (SP)
|
100% |
3571
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
1165
13.8 IPS |
|
|
Face Detection (Q)
|
97% |
3443
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6763
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1349
10.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
7522
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15501
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
6970
8.96 IPS |
|
|
Style Transfer (Q)
|
98% |
19936
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2504
92.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1331
49.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3397
125.8 IPS |
|
|
Text Classification (SP)
|
100% |
1141
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
489
653.3 IPS |
|
|
Text Classification (Q)
|
97% |
404
540.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1415
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
500
8.61 IPS |
|
|
Machine Translation (Q)
|
60% |
1689
37.7 IPS |
