LENOVO 21HGS3CC00
Geekbench AI Score
3232
Single Precision Score
3261
Half Precision Score
2023
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 07:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21HGS3CC00 |
| Motherboard | LENOVO 21HGS3CC00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1370P |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1385
257.5 IPS |
|
|
Image Classification (HP)
|
100% |
1514
281.5 IPS |
|
|
Image Classification (Q)
|
100% |
1136
211.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2248
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2516
40.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1599
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12841
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13673
16.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
6532
7.65 IPS |
|
|
Object Detection (SP)
|
100% |
1538
122.0 IPS |
|
|
Object Detection (HP)
|
98% |
1381
109.9 IPS |
|
|
Object Detection (Q)
|
86% |
1294
104.0 IPS |
|
|
Face Detection (SP)
|
100% |
3207
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
3935
46.8 IPS |
|
|
Face Detection (Q)
|
97% |
2408
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6332
48.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
7035
54.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
4444
35.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27677
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35908
46.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17519
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3467
128.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4903
181.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1544
57.2 IPS |
|
|
Text Classification (SP)
|
100% |
974
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
388
518.2 IPS |
|
|
Text Classification (Q)
|
97% |
510
683.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1001
17.2 IPS |
|
|
Machine Translation (Q)
|
70% |
508
9.53 IPS |
