LENOVO 83F5
Geekbench AI Score
9295
Single Precision Score
9288
Half Precision Score
16294
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | andreicr1 |
| Upload Date | August 14 2025 04:26 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83F5 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6078
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
6940
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
10635
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8270
134.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4632
75.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13130
212.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13995
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13754
16.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
31056
36.4 IPS |
|
|
Object Detection (SP)
|
100% |
5774
458.0 IPS |
|
|
Object Detection (HP)
|
100% |
7184
569.9 IPS |
|
|
Object Detection (Q)
|
88% |
11574
927.8 IPS |
|
|
Face Detection (SP)
|
100% |
16277
193.4 IPS |
|
|
Face Detection (HP)
|
100% |
20919
248.6 IPS |
|
|
Face Detection (Q)
|
100% |
29821
354.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14676
113.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14166
109.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
30893
240.2 IPS |
|
|
Style Transfer (SP)
|
100% |
39652
51.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27572
35.4 IPS |
|
|
Style Transfer (Q)
|
98% |
89204
115.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8376
309.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8387
309.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17117
633.9 IPS |
|
|
Text Classification (SP)
|
100% |
4096
5.47 KIPS |
|
|
Text Classification (HP)
|
100% |
3142
4.19 KIPS |
|
|
Text Classification (Q)
|
92% |
5277
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3648
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6990
120.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3542
61.0 IPS |
