LENOVO 21RRS04C01
Geekbench AI Score
17824
Single Precision Score
34834
Half Precision Score
13950
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 12:30 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 2000 Blackwell Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21RRS04C01 |
| Motherboard | LENOVO 21RRS04C01 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265HX |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6963
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
14023
2.61 KIPS |
|
|
Image Classification (Q)
|
99% |
6620
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13565
219.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22511
364.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
12525
203.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
82020
95.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
265047
309.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
73130
85.7 IPS |
|
|
Object Detection (SP)
|
100% |
9155
726.2 IPS |
|
|
Object Detection (HP)
|
100% |
17973
1.43 KIPS |
|
|
Object Detection (Q)
|
87% |
8163
655.1 IPS |
|
|
Face Detection (SP)
|
100% |
24036
285.6 IPS |
|
|
Face Detection (HP)
|
100% |
41457
492.6 IPS |
|
|
Face Detection (Q)
|
97% |
21447
255.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
41811
322.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
91957
708.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
34824
278.4 IPS |
|
|
Style Transfer (SP)
|
100% |
129070
165.9 IPS |
|
|
Style Transfer (HP)
|
100% |
439411
564.9 IPS |
|
|
Style Transfer (Q)
|
98% |
109297
140.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23012
849.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48113
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18837
697.5 IPS |
|
|
Text Classification (SP)
|
100% |
3125
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4006
5.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1945
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4892
84.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5419
93.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1886
35.4 IPS |
