LENOVO 21Q6002XIV
Geekbench AI Score
6371
Single Precision Score
11628
Half Precision Score
4289
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | April 07 2025 04:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21Q6002XIV |
| Motherboard | LENOVO 21Q6002XIV |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2788
518.6 IPS |
|
|
Image Classification (HP)
|
100% |
3941
732.8 IPS |
|
|
Image Classification (Q)
|
100% |
1896
352.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6176
100.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12862
208.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4705
76.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18418
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
79552
92.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
13351
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
3642
288.9 IPS |
|
|
Object Detection (HP)
|
100% |
5942
471.4 IPS |
|
|
Object Detection (Q)
|
88% |
3121
250.3 IPS |
|
|
Face Detection (SP)
|
100% |
8467
100.6 IPS |
|
|
Face Detection (HP)
|
100% |
15637
185.8 IPS |
|
|
Face Detection (Q)
|
97% |
5694
67.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16960
130.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
32714
252.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
12104
96.7 IPS |
|
|
Style Transfer (SP)
|
100% |
45581
58.6 IPS |
|
|
Style Transfer (HP)
|
100% |
152505
196.0 IPS |
|
|
Style Transfer (Q)
|
98% |
33054
42.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7351
271.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12324
455.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5138
190.3 IPS |
|
|
Text Classification (SP)
|
100% |
700
934.1 IPS |
|
|
Text Classification (HP)
|
100% |
782
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
434
581.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2835
48.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2509
43.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1118
21.0 IPS |
