LENOVO 30FMCTO1WW
Geekbench AI Score
2497
Single Precision Score
3646
Half Precision Score
5528
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | dot-bob |
| Upload Date | September 25 2025 10:58 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30FMCTO1WW |
| Motherboard | LENOVO 1057 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1438
267.4 IPS |
|
|
Image Classification (HP)
|
100% |
2442
454.2 IPS |
|
|
Image Classification (Q)
|
99% |
3401
634.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3720
60.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4270
69.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4217
4.92 IPS |
|
|
Pose Estimation (HP)
|
99% |
3083
3.60 IPS |
|
|
Pose Estimation (Q)
|
97% |
12610
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1413
112.1 IPS |
|
|
Object Detection (HP)
|
98% |
2259
179.7 IPS |
|
|
Object Detection (Q)
|
90% |
4244
339.3 IPS |
|
|
Face Detection (SP)
|
100% |
4947
58.8 IPS |
|
|
Face Detection (HP)
|
100% |
7658
91.0 IPS |
|
|
Face Detection (Q)
|
100% |
10054
119.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4913
37.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
8268
63.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
11287
87.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10954
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17235
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
28959
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1964
72.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3193
117.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6550
242.6 IPS |
|
|
Text Classification (SP)
|
71% |
1118
1.62 KIPS |
|
|
Text Classification (HP)
|
71% |
1151
1.66 KIPS |
|
|
Text Classification (Q)
|
92% |
980
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
810
14.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1640
28.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1627
28.0 IPS |
