ThinkPad X1 Carbon Gen 12 LENOVO 21KCCTO1WW
Geekbench AI Score
1782
Single Precision Score
4124
Half Precision Score
1500
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ascarter |
| Upload Date | August 17 2024 06:43 AM |
| Views | 5 |
| Notes | LENOVO 21KCCTO1WW |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KCCTO1WW |
| Motherboard | LENOVO 21KCCTO1WW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 165U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
727
135.3 IPS |
|
|
Image Classification (HP)
|
100% |
2945
547.7 IPS |
|
|
Image Classification (Q)
|
100% |
655
121.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
884
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4369
70.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
793
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7357
8.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
11101
13.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
6641
7.78 IPS |
|
|
Object Detection (SP)
|
100% |
634
50.3 IPS |
|
|
Object Detection (HP)
|
99% |
2036
161.9 IPS |
|
|
Object Detection (Q)
|
89% |
623
49.8 IPS |
|
|
Face Detection (SP)
|
100% |
1055
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
4057
48.2 IPS |
|
|
Face Detection (Q)
|
97% |
916
10.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3506
27.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12389
95.7 IPS |
|
|
Depth Estimation (Q)
|
73% |
2951
24.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16149
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28690
36.9 IPS |
|
|
Style Transfer (Q)
|
98% |
16280
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2814
103.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5362
198.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2755
102.0 IPS |
|
|
Text Classification (SP)
|
86% |
631
853.5 IPS |
|
|
Text Classification (HP)
|
99% |
628
837.9 IPS |
|
|
Text Classification (Q)
|
83% |
479
651.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1018
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (Q)
|
60% |
464
10.3 IPS |
