LENOVO 21RRS04C01
Geekbench AI Score
17754
Single Precision Score
34840
Half Precision Score
13963
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 12:27 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% |
6873
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
14009
2.61 KIPS |
|
|
Image Classification (Q)
|
99% |
6564
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13602
220.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22697
367.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
12597
204.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
81225
94.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
262644
306.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
72838
85.3 IPS |
|
|
Object Detection (SP)
|
100% |
9170
727.3 IPS |
|
|
Object Detection (HP)
|
100% |
18008
1.43 KIPS |
|
|
Object Detection (Q)
|
87% |
8188
657.1 IPS |
|
|
Face Detection (SP)
|
100% |
24148
286.9 IPS |
|
|
Face Detection (HP)
|
100% |
41052
487.8 IPS |
|
|
Face Detection (Q)
|
97% |
21383
255.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
41678
321.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
91989
708.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
34459
275.5 IPS |
|
|
Style Transfer (SP)
|
100% |
128740
165.5 IPS |
|
|
Style Transfer (HP)
|
100% |
435612
560.0 IPS |
|
|
Style Transfer (Q)
|
98% |
108612
140.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23011
849.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48467
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18927
700.9 IPS |
|
|
Text Classification (SP)
|
100% |
3102
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4073
5.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1945
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4833
83.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5397
93.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1940
36.4 IPS |
