LENOVO 30HACTO1WW
Geekbench AI Score
13653
Single Precision Score
23804
Half Precision Score
10508
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Ansible212 |
| Upload Date | December 17 2024 11:54 PM |
| Views | 2 |
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 | Ultimate Performance |
| 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% |
5746
1.07 KIPS |
|
|
Image Classification (HP)
|
99% |
10621
1.98 KIPS |
|
|
Image Classification (Q)
|
100% |
4962
922.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
9452
153.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12692
205.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8530
138.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
60809
71.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
193680
226.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
54136
63.4 IPS |
|
|
Object Detection (SP)
|
100% |
6968
552.7 IPS |
|
|
Object Detection (HP)
|
100% |
11477
910.4 IPS |
|
|
Object Detection (Q)
|
89% |
5912
473.2 IPS |
|
|
Face Detection (SP)
|
100% |
13945
165.7 IPS |
|
|
Face Detection (HP)
|
100% |
23226
276.0 IPS |
|
|
Face Detection (Q)
|
97% |
11563
137.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
29916
230.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
60566
466.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
24920
200.9 IPS |
|
|
Style Transfer (SP)
|
100% |
109718
141.0 IPS |
|
|
Style Transfer (HP)
|
100% |
290907
374.0 IPS |
|
|
Style Transfer (Q)
|
98% |
98672
127.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22574
833.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39992
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16862
624.4 IPS |
|
|
Text Classification (SP)
|
100% |
3052
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3566
4.76 KIPS |
|
|
Text Classification (Q)
|
97% |
1840
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3103
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3341
57.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1374
30.6 IPS |
