LENOVO 21RSS0F800
Geekbench AI Score
14621
Single Precision Score
28957
Half Precision Score
11910
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 09 2026 03:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 1000 Blackwell Generation Laptop GPU |
| 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% |
6382
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
12127
2.26 KIPS |
|
|
Image Classification (Q)
|
99% |
5995
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10631
172.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18255
295.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10121
164.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
58904
68.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
191746
223.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
58779
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
7737
613.7 IPS |
|
|
Object Detection (HP)
|
100% |
15408
1.22 KIPS |
|
|
Object Detection (Q)
|
87% |
7102
570.0 IPS |
|
|
Face Detection (SP)
|
100% |
18959
225.3 IPS |
|
|
Face Detection (HP)
|
100% |
33774
401.3 IPS |
|
|
Face Detection (Q)
|
97% |
18115
216.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
34641
266.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
76088
586.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
29473
235.7 IPS |
|
|
Style Transfer (SP)
|
100% |
96714
124.3 IPS |
|
|
Style Transfer (HP)
|
100% |
355804
457.4 IPS |
|
|
Style Transfer (Q)
|
98% |
83582
107.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19813
731.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38926
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15835
586.4 IPS |
|
|
Text Classification (SP)
|
100% |
2636
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
3707
4.95 KIPS |
|
|
Text Classification (Q)
|
97% |
1819
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4354
75.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4805
82.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1764
33.1 IPS |
