N/A
Geekbench AI Score
1571
Single Precision Score
1586
Half Precision Score
1183
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 20 2025 04:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285HX |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | N/A |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.07 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1426
265.1 IPS |
|
|
Image Classification (HP)
|
100% |
1511
281.0 IPS |
|
|
Image Classification (Q)
|
99% |
1000
186.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2214
35.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1062
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3467
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
3351
3.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
3752
4.40 IPS |
|
|
Object Detection (SP)
|
100% |
780
61.9 IPS |
|
|
Object Detection (HP)
|
100% |
735
58.3 IPS |
|
|
Object Detection (Q)
|
85% |
784
63.1 IPS |
|
|
Face Detection (SP)
|
100% |
1760
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
1589
18.9 IPS |
|
|
Face Detection (Q)
|
97% |
2234
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2392
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2357
18.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1436
13.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3612
4.64 IPS |
|
|
Style Transfer (HP)
|
100% |
3592
4.62 IPS |
|
|
Style Transfer (Q)
|
98% |
6155
7.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1246
46.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
747
27.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1208
44.8 IPS |
|
|
Text Classification (SP)
|
100% |
718
959.0 IPS |
|
|
Text Classification (HP)
|
100% |
1335
1.78 KIPS |
|
|
Text Classification (Q)
|
92% |
414
556.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1143
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
914
15.7 IPS |
|
|
Machine Translation (Q)
|
58% |
175
4.11 IPS |
