LENOVO 21QA0046MX
Geekbench AI Score
2108
Single Precision Score
1020
Half Precision Score
4472
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 09:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21QA0046MX |
| Motherboard | LENOVO 21QA0046MX |
| Power Plan | Tasapainotettu |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
1498
278.6 IPS |
|
|
Image Classification (HP)
|
100% |
316
58.8 IPS |
|
|
Image Classification (Q)
|
99% |
2914
543.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1028
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
533
8.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
2041
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1867
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1748
2.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
10860
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1656
131.4 IPS |
|
|
Object Detection (HP)
|
100% |
531
42.1 IPS |
|
|
Object Detection (Q)
|
86% |
3806
305.9 IPS |
|
|
Face Detection (SP)
|
100% |
3896
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
1279
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
6757
80.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4323
33.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1624
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
9613
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6414
8.25 IPS |
|
|
Style Transfer (HP)
|
100% |
5977
7.68 IPS |
|
|
Style Transfer (Q)
|
98% |
15688
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1401
51.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1267
46.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3286
121.7 IPS |
|
|
Text Classification (SP)
|
100% |
1224
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
713
952.0 IPS |
|
|
Text Classification (Q)
|
97% |
1578
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1966
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2468
49.6 IPS |
