LENOVO 30FMCTO1WW
Geekbench AI Score
18236
Single Precision Score
31031
Half Precision Score
11797
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | dot-bob |
| Upload Date | September 25 2025 10:44 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A4000 |
| 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% |
6730
1.25 KIPS |
|
|
Image Classification (HP)
|
99% |
11175
2.08 KIPS |
|
|
Image Classification (Q)
|
100% |
5219
970.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
13541
219.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20824
337.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10290
167.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
91078
106.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
273799
319.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
75457
88.4 IPS |
|
|
Object Detection (SP)
|
100% |
9481
752.1 IPS |
|
|
Object Detection (HP)
|
100% |
15934
1.26 KIPS |
|
|
Object Detection (Q)
|
85% |
6948
559.3 IPS |
|
|
Face Detection (SP)
|
100% |
22599
268.5 IPS |
|
|
Face Detection (HP)
|
100% |
36937
438.9 IPS |
|
|
Face Detection (Q)
|
97% |
17005
202.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
44779
345.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
86289
664.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
30127
241.3 IPS |
|
|
Style Transfer (SP)
|
100% |
151481
194.7 IPS |
|
|
Style Transfer (HP)
|
100% |
408629
525.3 IPS |
|
|
Style Transfer (Q)
|
98% |
118382
152.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27724
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
39639
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16777
621.2 IPS |
|
|
Text Classification (SP)
|
100% |
2879
3.84 KIPS |
|
|
Text Classification (HP)
|
99% |
3596
4.80 KIPS |
|
|
Text Classification (Q)
|
97% |
1218
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4225
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4393
75.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1497
28.1 IPS |
