LENOVO 30HACTO1WW
Geekbench AI Score
13421
Single Precision Score
22988
Half Precision Score
10263
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Ansible212 |
| Upload Date | December 20 2024 12:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 2000 Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30HACTO1WW |
| Motherboard | LENOVO 1066 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900 |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5408
1.01 KIPS |
|
|
Image Classification (HP)
|
99% |
10423
1.94 KIPS |
|
|
Image Classification (Q)
|
100% |
4738
881.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
8966
145.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11879
192.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
8165
132.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
62098
72.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
197871
230.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
55594
65.1 IPS |
|
|
Object Detection (SP)
|
100% |
6872
545.1 IPS |
|
|
Object Detection (HP)
|
100% |
11018
874.0 IPS |
|
|
Object Detection (Q)
|
89% |
5782
462.8 IPS |
|
|
Face Detection (SP)
|
100% |
13563
161.2 IPS |
|
|
Face Detection (HP)
|
100% |
22071
262.2 IPS |
|
|
Face Detection (Q)
|
97% |
11386
135.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
30768
237.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
60250
464.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
25347
204.4 IPS |
|
|
Style Transfer (SP)
|
100% |
114686
147.4 IPS |
|
|
Style Transfer (HP)
|
100% |
292825
376.4 IPS |
|
|
Style Transfer (Q)
|
98% |
99957
128.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22942
847.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38384
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17024
630.4 IPS |
|
|
Text Classification (SP)
|
100% |
2970
3.96 KIPS |
|
|
Text Classification (HP)
|
99% |
3462
4.62 KIPS |
|
|
Text Classification (Q)
|
97% |
1796
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2811
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2951
50.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1182
26.4 IPS |
