LENOVO 21FBA01PCD
Geekbench AI Score
3580
Single Precision Score
3591
Half Precision Score
8976
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 08:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
2500
464.9 IPS |
|
|
Image Classification (HP)
|
100% |
2563
476.6 IPS |
|
|
Image Classification (Q)
|
100% |
6661
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3038
49.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2774
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4754
77.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5553
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
5487
6.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
18098
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2180
172.9 IPS |
|
|
Object Detection (HP)
|
100% |
2197
174.2 IPS |
|
|
Object Detection (Q)
|
88% |
6082
487.5 IPS |
|
|
Face Detection (SP)
|
100% |
6665
79.2 IPS |
|
|
Face Detection (HP)
|
100% |
7138
84.8 IPS |
|
|
Face Detection (Q)
|
100% |
15228
180.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6006
46.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5919
45.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
16964
131.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16188
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16425
21.1 IPS |
|
|
Style Transfer (Q)
|
98% |
45456
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2851
105.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2984
110.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12075
447.2 IPS |
|
|
Text Classification (SP)
|
100% |
1091
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1068
1.43 KIPS |
|
|
Text Classification (Q)
|
92% |
3701
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1869
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1886
32.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1857
32.0 IPS |
