LENOVO 21QA0046TX
Geekbench AI Score
7515
Single Precision Score
14447
Half Precision Score
5198
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | March 22 2026 01:21 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21QA0046TX |
| Motherboard | LENOVO 21QA0046TX |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4435
824.8 IPS |
|
|
Image Classification (HP)
|
100% |
6149
1.14 KIPS |
|
|
Image Classification (Q)
|
100% |
3481
647.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7044
114.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14732
238.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4862
79.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11734
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30074
35.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10616
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
4554
361.2 IPS |
|
|
Object Detection (HP)
|
100% |
9715
770.6 IPS |
|
|
Object Detection (Q)
|
88% |
4077
326.9 IPS |
|
|
Face Detection (SP)
|
100% |
9555
113.5 IPS |
|
|
Face Detection (HP)
|
100% |
19648
233.5 IPS |
|
|
Face Detection (Q)
|
97% |
6624
79.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19225
148.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
40599
312.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
13139
105.0 IPS |
|
|
Style Transfer (SP)
|
100% |
46792
60.2 IPS |
|
|
Style Transfer (HP)
|
100% |
182914
235.1 IPS |
|
|
Style Transfer (Q)
|
98% |
36947
47.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9841
363.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18036
666.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5310
196.6 IPS |
|
|
Text Classification (SP)
|
100% |
1250
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1606
2.14 KIPS |
|
|
Text Classification (Q)
|
97% |
782
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3258
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3542
61.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1474
27.6 IPS |
