Dell Inc. Dell Pro Max 16 Plus MB16250
Geekbench AI Score
3595
Single Precision Score
3610
Half Precision Score
2664
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | September 04 2025 09:56 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285HX |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Dell Inc. Dell Pro Max 16 Plus MB16250 |
| Motherboard | Dell Inc. 0K8XPY |
| 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 | 5.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3113
578.9 IPS |
|
|
Image Classification (HP)
|
100% |
3085
573.7 IPS |
|
|
Image Classification (Q)
|
99% |
2173
405.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4353
70.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4465
72.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1887
30.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4280
4.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
4322
5.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
7110
8.33 IPS |
|
|
Object Detection (SP)
|
100% |
3321
263.4 IPS |
|
|
Object Detection (HP)
|
100% |
3327
263.9 IPS |
|
|
Object Detection (Q)
|
85% |
2430
195.6 IPS |
|
|
Face Detection (SP)
|
100% |
5063
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
5037
59.8 IPS |
|
|
Face Detection (Q)
|
97% |
3904
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4085
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4132
31.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
3139
29.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4928
6.33 IPS |
|
|
Style Transfer (HP)
|
100% |
4906
6.31 IPS |
|
|
Style Transfer (Q)
|
98% |
9940
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2974
109.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3039
112.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3029
112.2 IPS |
|
|
Text Classification (SP)
|
100% |
1626
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1599
2.13 KIPS |
|
|
Text Classification (Q)
|
92% |
965
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3805
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3834
66.0 IPS |
|
|
Machine Translation (Q)
|
58% |
715
16.8 IPS |
