LENOVO 21QA001ATW
Geekbench AI Score
3560
Single Precision Score
8242
Half Precision Score
2792
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 08:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 21QA001ATW |
| Motherboard | LENOVO 21QA001ATW |
| 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% |
1749
325.3 IPS |
|
|
Image Classification (HP)
|
100% |
3134
582.9 IPS |
|
|
Image Classification (Q)
|
100% |
1883
350.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4577
74.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9573
155.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3394
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6692
7.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
21074
24.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
5466
6.40 IPS |
|
|
Object Detection (SP)
|
100% |
2958
234.6 IPS |
|
|
Object Detection (HP)
|
100% |
4965
393.8 IPS |
|
|
Object Detection (Q)
|
88% |
2028
162.7 IPS |
|
|
Face Detection (SP)
|
100% |
3663
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
4531
53.8 IPS |
|
|
Face Detection (Q)
|
97% |
2722
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6645
51.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
27878
214.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
8511
68.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31525
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
130996
168.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21975
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3979
146.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15986
590.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3178
117.7 IPS |
|
|
Text Classification (SP)
|
100% |
528
704.7 IPS |
|
|
Text Classification (HP)
|
100% |
915
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
365
488.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1281
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1904
32.8 IPS |
|
|
Machine Translation (Q)
|
70% |
690
12.9 IPS |
