LENOVO 21RSS0F800
Geekbench AI Score
5173
Single Precision Score
2188
Half Precision Score
9791
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 09 2026 03:45 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 255H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | LENOVO 21RSS0F800 |
| Motherboard | LENOVO 21RSS0F800 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4438
825.3 IPS |
|
|
Image Classification (HP)
|
100% |
807
150.1 IPS |
|
|
Image Classification (Q)
|
99% |
9222
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2228
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12497
203.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8644
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5933
6.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
29326
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
3488
276.7 IPS |
|
|
Object Detection (HP)
|
100% |
1034
82.0 IPS |
|
|
Object Detection (Q)
|
86% |
9047
727.1 IPS |
|
|
Face Detection (SP)
|
100% |
9544
113.4 IPS |
|
|
Face Detection (HP)
|
100% |
2203
26.2 IPS |
|
|
Face Detection (Q)
|
97% |
12042
143.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10381
80.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2854
22.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
20288
161.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20433
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15186
19.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22299
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3925
144.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2930
108.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6448
238.8 IPS |
|
|
Text Classification (SP)
|
100% |
2002
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
972
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1815
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2895
49.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1331
22.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4155
83.5 IPS |
