LENOVO 21RRS04C01
Geekbench AI Score
17868
Single Precision Score
34680
Half Precision Score
13991
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 12:25 PM |
| Views | 2 |
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% |
7022
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
13897
2.58 KIPS |
|
|
Image Classification (Q)
|
99% |
6635
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13584
220.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22658
367.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
12585
204.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
81868
95.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
265359
309.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
73670
86.3 IPS |
|
|
Object Detection (SP)
|
100% |
9193
729.2 IPS |
|
|
Object Detection (HP)
|
100% |
17632
1.40 KIPS |
|
|
Object Detection (Q)
|
87% |
8185
656.9 IPS |
|
|
Face Detection (SP)
|
100% |
24100
286.4 IPS |
|
|
Face Detection (HP)
|
100% |
40815
485.0 IPS |
|
|
Face Detection (Q)
|
97% |
21570
257.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
42056
324.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
91640
706.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
34727
277.6 IPS |
|
|
Style Transfer (SP)
|
100% |
129853
166.9 IPS |
|
|
Style Transfer (HP)
|
100% |
435761
560.2 IPS |
|
|
Style Transfer (Q)
|
98% |
108819
140.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22806
842.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48247
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18978
702.7 IPS |
|
|
Text Classification (SP)
|
100% |
3138
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4018
5.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1944
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4907
84.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5407
93.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1899
35.6 IPS |
