LENOVO 21QA004VGR
Geekbench AI Score
2299
Single Precision Score
1014
Half Precision Score
4628
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 27 2025 09:02 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21QA004VGR |
| Motherboard | LENOVO 21QA004VGR |
| Power Plan | Balanced |
| 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% |
1816
337.7 IPS |
|
|
Image Classification (HP)
|
100% |
483
89.9 IPS |
|
|
Image Classification (Q)
|
99% |
4085
761.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
727
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1959
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2847
3.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1943
2.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
11412
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1593
126.3 IPS |
|
|
Object Detection (HP)
|
100% |
541
42.9 IPS |
|
|
Object Detection (Q)
|
86% |
3914
314.6 IPS |
|
|
Face Detection (SP)
|
100% |
4569
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
1250
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
6775
80.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3953
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1581
12.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9779
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7065
9.08 IPS |
|
|
Style Transfer (HP)
|
100% |
5557
7.14 IPS |
|
|
Style Transfer (Q)
|
98% |
15460
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1432
52.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1199
44.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2909
107.7 IPS |
|
|
Text Classification (SP)
|
100% |
1154
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
481
641.6 IPS |
|
|
Text Classification (Q)
|
97% |
1523
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1850
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
494
8.51 IPS |
|
|
Machine Translation (Q)
|
65% |
2784
55.9 IPS |
