LENOVO 30H00016US
Geekbench AI Score
6151
Single Precision Score
4669
Half Precision Score
4513
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 03:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA T1000 8GB |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30H00016US |
| Motherboard | LENOVO 3333 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900T |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 1.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2459
457.3 IPS |
|
|
Image Classification (HP)
|
100% |
2273
422.8 IPS |
|
|
Image Classification (Q)
|
99% |
2222
414.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4036
65.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3293
53.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3394
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
21536
25.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
13194
15.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
19194
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
2905
230.5 IPS |
|
|
Object Detection (HP)
|
100% |
2698
214.0 IPS |
|
|
Object Detection (Q)
|
83% |
2468
199.4 IPS |
|
|
Face Detection (SP)
|
100% |
6784
80.6 IPS |
|
|
Face Detection (HP)
|
100% |
5370
63.8 IPS |
|
|
Face Detection (Q)
|
97% |
5674
67.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13971
107.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9903
76.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10770
86.0 IPS |
|
|
Style Transfer (SP)
|
100% |
39188
50.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26217
33.7 IPS |
|
|
Style Transfer (Q)
|
98% |
33296
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8464
312.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6496
239.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5846
216.5 IPS |
|
|
Text Classification (SP)
|
100% |
1685
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
938
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
882
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2360
40.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2176
37.6 IPS |
|
|
Machine Translation (Q)
|
70% |
937
17.6 IPS |
