LENOVO 21Q6CTO1WW
Geekbench AI Score
10152
Single Precision Score
28377
Half Precision Score
33302
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | billybobsmoot |
| Upload Date | January 13 2026 03:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 130V GPU (16GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 21Q6CTO1WW |
| Motherboard | LENOVO 21Q6CTO1WW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 238V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6433
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
14044
2.61 KIPS |
|
|
Image Classification (Q)
|
100% |
17491
3.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8994
145.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
25805
418.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
29382
476.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20449
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
113780
132.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
215579
252.4 IPS |
|
|
Object Detection (SP)
|
100% |
5957
472.5 IPS |
|
|
Object Detection (HP)
|
100% |
16307
1.29 KIPS |
|
|
Object Detection (Q)
|
88% |
21086
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
13275
157.7 IPS |
|
|
Face Detection (HP)
|
100% |
32580
387.1 IPS |
|
|
Face Detection (Q)
|
100% |
44894
533.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21306
164.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
50792
391.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
60670
471.8 IPS |
|
|
Style Transfer (SP)
|
100% |
51019
65.6 IPS |
|
|
Style Transfer (HP)
|
100% |
197960
254.5 IPS |
|
|
Style Transfer (Q)
|
98% |
271937
350.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8778
324.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37509
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42396
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3607
4.81 KIPS |
|
|
Text Classification (HP)
|
100% |
5790
7.73 KIPS |
|
|
Text Classification (Q)
|
92% |
3137
4.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3614
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7078
121.9 IPS |
|
|
Machine Translation (Q)
|
100% |
7292
125.6 IPS |
