LENOVO 21QA0046TX
Geekbench AI Score
2707
Single Precision Score
29190
Half Precision Score
47878
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | March 22 2026 01:28 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1854
344.8 IPS |
|
|
Image Classification (HP)
|
100% |
15250
2.84 KIPS |
|
|
Image Classification (Q)
|
100% |
24211
4.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1948
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18712
303.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
29270
474.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3074
3.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
108820
127.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
242858
284.5 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
100% |
18134
1.44 KIPS |
|
|
Object Detection (Q)
|
88% |
27798
2.23 KIPS |
|
|
Face Detection (SP)
|
100% |
4631
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
40845
485.3 IPS |
|
|
Face Detection (Q)
|
100% |
80059
951.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3672
28.3 IPS |
|
|
Depth Estimation (HP)
|
92% |
80846
627.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
166272
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
7504
9.65 IPS |
|
|
Style Transfer (HP)
|
100% |
236307
303.8 IPS |
|
|
Style Transfer (Q)
|
98% |
419866
541.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1586
58.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45054
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83497
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2015
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
3359
4.48 KIPS |
|
|
Text Classification (Q)
|
92% |
3757
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3025
52.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6755
116.3 IPS |
|
|
Machine Translation (Q)
|
100% |
7547
130.0 IPS |
