LENOVO 30HACTO1WW
Geekbench AI Score
12767
Single Precision Score
22378
Half Precision Score
9831
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Ansible212 |
| Upload Date | December 19 2024 11:53 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% |
4801
892.9 IPS |
|
|
Image Classification (HP)
|
99% |
9710
1.81 KIPS |
|
|
Image Classification (Q)
|
100% |
4793
891.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
8944
145.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11370
184.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8183
133.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
60576
70.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
189572
221.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
53950
63.2 IPS |
|
|
Object Detection (SP)
|
100% |
5732
454.7 IPS |
|
|
Object Detection (HP)
|
100% |
10632
843.3 IPS |
|
|
Object Detection (Q)
|
89% |
4783
382.9 IPS |
|
|
Face Detection (SP)
|
100% |
13597
161.6 IPS |
|
|
Face Detection (HP)
|
100% |
21835
259.4 IPS |
|
|
Face Detection (Q)
|
97% |
10684
127.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
29602
228.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
58086
447.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
23904
192.7 IPS |
|
|
Style Transfer (SP)
|
100% |
102100
131.3 IPS |
|
|
Style Transfer (HP)
|
100% |
289196
371.8 IPS |
|
|
Style Transfer (Q)
|
98% |
97131
125.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22657
836.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38287
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16876
624.9 IPS |
|
|
Text Classification (SP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (HP)
|
99% |
3408
4.55 KIPS |
|
|
Text Classification (Q)
|
97% |
1766
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2801
48.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2958
50.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1128
25.2 IPS |
