LENOVO 21QA0046TX
Geekbench AI Score
11450
Single Precision Score
30579
Half Precision Score
36720
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | March 22 2026 01:25 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| 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% |
7528
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
15127
2.81 KIPS |
|
|
Image Classification (Q)
|
100% |
20040
3.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9865
159.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
27928
452.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32245
522.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
23898
27.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
130661
152.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
264989
310.2 IPS |
|
|
Object Detection (SP)
|
100% |
6595
523.1 IPS |
|
|
Object Detection (HP)
|
100% |
17246
1.37 KIPS |
|
|
Object Detection (Q)
|
88% |
22171
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
14753
175.3 IPS |
|
|
Face Detection (HP)
|
100% |
34837
413.9 IPS |
|
|
Face Detection (Q)
|
100% |
51085
607.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
24666
190.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
62444
481.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
70040
544.7 IPS |
|
|
Style Transfer (SP)
|
100% |
59763
76.8 IPS |
|
|
Style Transfer (HP)
|
100% |
215720
277.3 IPS |
|
|
Style Transfer (Q)
|
98% |
307907
397.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9866
364.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35277
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42182
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
4355
5.81 KIPS |
|
|
Text Classification (HP)
|
100% |
6131
8.18 KIPS |
|
|
Text Classification (Q)
|
92% |
3387
4.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3543
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7399
127.9 IPS |
|
|
Machine Translation (Q)
|
100% |
7460
128.5 IPS |
