LENOVO 30J6A01RCW
Geekbench AI Score
22022
Single Precision Score
41764
Half Precision Score
16643
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 06:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 4000 Blackwell SFF Edition |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 30J6A01RCW |
| Motherboard | LENOVO 1070 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285 |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9487
1.76 KIPS |
|
|
Image Classification (HP)
|
100% |
17567
3.27 KIPS |
|
|
Image Classification (Q)
|
100% |
8358
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16176
262.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
27273
442.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14885
242.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
103909
121.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
394816
460.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
93162
109.1 IPS |
|
|
Object Detection (SP)
|
100% |
10833
859.3 IPS |
|
|
Object Detection (HP)
|
100% |
19305
1.53 KIPS |
|
|
Object Detection (Q)
|
86% |
9334
749.9 IPS |
|
|
Face Detection (SP)
|
100% |
30829
366.3 IPS |
|
|
Face Detection (HP)
|
100% |
48990
582.1 IPS |
|
|
Face Detection (Q)
|
97% |
25698
306.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
52752
406.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
108924
839.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
42912
342.7 IPS |
|
|
Style Transfer (SP)
|
100% |
174341
224.1 IPS |
|
|
Style Transfer (HP)
|
100% |
596283
766.5 IPS |
|
|
Style Transfer (Q)
|
98% |
152356
196.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29309
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56297
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23652
875.8 IPS |
|
|
Text Classification (SP)
|
100% |
3420
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4534
6.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1785
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5466
94.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5444
93.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2126
39.9 IPS |
