LENOVO 21Q1ZCSRUS
Geekbench AI Score
5403
Single Precision Score
8260
Half Precision Score
13445
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | September 22 2025 07:28 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21Q1ZCSRUS |
| Motherboard | LENOVO 21Q1ZCSRUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3846
715.2 IPS |
|
|
Image Classification (HP)
|
100% |
5565
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
7657
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3731
60.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8376
135.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
12122
196.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12463
14.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
11590
13.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
32419
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
3414
270.8 IPS |
|
|
Object Detection (HP)
|
100% |
4713
373.9 IPS |
|
|
Object Detection (Q)
|
88% |
9314
746.4 IPS |
|
|
Face Detection (SP)
|
100% |
8721
103.6 IPS |
|
|
Face Detection (HP)
|
100% |
16352
194.3 IPS |
|
|
Face Detection (Q)
|
100% |
26170
311.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9655
74.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
20558
158.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
25393
197.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27051
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31153
40.0 IPS |
|
|
Style Transfer (Q)
|
98% |
82913
106.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5101
188.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7724
285.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14434
534.6 IPS |
|
|
Text Classification (SP)
|
71% |
1469
2.12 KIPS |
|
|
Text Classification (HP)
|
71% |
2117
3.06 KIPS |
|
|
Text Classification (Q)
|
92% |
2467
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2038
35.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3392
58.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3511
60.7 IPS |
