LENOVO 21QX00GUPG
Geekbench AI Score
2255
Single Precision Score
1087
Half Precision Score
3894
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 10:47 AM |
| Views | 6 |
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 21QX00GUPG |
| Motherboard | LENOVO 21QX00GUPG |
| 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% |
1773
329.7 IPS |
|
|
Image Classification (HP)
|
100% |
527
97.9 IPS |
|
|
Image Classification (Q)
|
99% |
4116
767.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
867
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1798
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3226
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
1946
2.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
10307
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1652
131.0 IPS |
|
|
Object Detection (HP)
|
100% |
513
40.7 IPS |
|
|
Object Detection (Q)
|
86% |
3219
258.7 IPS |
|
|
Face Detection (SP)
|
100% |
4301
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
1335
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
6129
73.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4047
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1452
11.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9499
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6383
8.21 IPS |
|
|
Style Transfer (HP)
|
100% |
4933
6.34 IPS |
|
|
Style Transfer (Q)
|
98% |
14699
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1374
50.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1223
45.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2939
108.8 IPS |
|
|
Text Classification (SP)
|
100% |
1009
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
681
908.6 IPS |
|
|
Text Classification (Q)
|
97% |
520
697.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1814
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2498
50.2 IPS |
