LENOVO 21QX00GUMH
Geekbench AI Score
3242
Single Precision Score
1411
Half Precision Score
5900
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 07:36 AM |
| Views | 3 |
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 21QX00GUMH |
| Motherboard | LENOVO 21QX00GUMH |
| Power Plan | Gebalanceerd |
| 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% |
2179
405.3 IPS |
|
|
Image Classification (HP)
|
100% |
594
110.4 IPS |
|
|
Image Classification (Q)
|
99% |
5362
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1543
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1000
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5727
93.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4965
5.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
3190
3.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
17101
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2358
187.1 IPS |
|
|
Object Detection (HP)
|
100% |
682
54.1 IPS |
|
|
Object Detection (Q)
|
86% |
4595
369.3 IPS |
|
|
Face Detection (SP)
|
100% |
6387
75.9 IPS |
|
|
Face Detection (HP)
|
100% |
1499
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
5684
67.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6407
49.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2121
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
12805
102.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12285
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8129
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
21230
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2278
84.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1653
61.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3798
140.6 IPS |
|
|
Text Classification (SP)
|
100% |
1416
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
613
818.4 IPS |
|
|
Text Classification (Q)
|
97% |
1348
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2010
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
926
15.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2678
53.8 IPS |
