LENOVO 30HACTO1WW
Geekbench AI Score
13073
Single Precision Score
22533
Half Precision Score
9952
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Ansible212 |
| Upload Date | December 17 2024 11:50 PM |
| 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% |
5464
1.02 KIPS |
|
|
Image Classification (HP)
|
99% |
9983
1.86 KIPS |
|
|
Image Classification (Q)
|
100% |
4554
846.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
8921
144.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11832
191.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8221
133.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
61000
71.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
189919
221.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
53952
63.2 IPS |
|
|
Object Detection (SP)
|
100% |
6707
532.0 IPS |
|
|
Object Detection (HP)
|
100% |
10603
841.1 IPS |
|
|
Object Detection (Q)
|
89% |
5600
448.3 IPS |
|
|
Face Detection (SP)
|
100% |
13533
160.8 IPS |
|
|
Face Detection (HP)
|
100% |
21714
258.0 IPS |
|
|
Face Detection (Q)
|
97% |
10827
129.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
29745
229.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
60620
467.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
24729
199.4 IPS |
|
|
Style Transfer (SP)
|
100% |
110375
141.9 IPS |
|
|
Style Transfer (HP)
|
100% |
286362
368.1 IPS |
|
|
Style Transfer (Q)
|
98% |
94317
121.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21693
801.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38138
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16438
608.7 IPS |
|
|
Text Classification (SP)
|
100% |
2756
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
3240
4.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1712
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2754
47.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3047
52.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1186
26.5 IPS |
