LENOVO 21Q7S0B600
Geekbench AI Score
2576
Single Precision Score
1320
Half Precision Score
5158
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 01:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 268V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21Q7S0B600 |
| Motherboard | LENOVO 21Q7S0B600 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 268V |
| 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% |
1651
307.1 IPS |
|
|
Image Classification (HP)
|
100% |
564
104.8 IPS |
|
|
Image Classification (Q)
|
99% |
4242
791.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
929
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2473
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3375
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
2607
3.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
12095
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1793
142.2 IPS |
|
|
Object Detection (HP)
|
100% |
637
50.5 IPS |
|
|
Object Detection (Q)
|
86% |
4275
343.5 IPS |
|
|
Face Detection (SP)
|
100% |
5125
60.9 IPS |
|
|
Face Detection (HP)
|
100% |
1624
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
7116
84.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4761
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1939
14.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
10360
82.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7883
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6456
8.30 IPS |
|
|
Style Transfer (Q)
|
98% |
17634
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1751
64.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1500
55.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3650
135.2 IPS |
|
|
Text Classification (SP)
|
100% |
1274
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
715
954.6 IPS |
|
|
Text Classification (Q)
|
97% |
1658
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2224
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3125
62.8 IPS |
