Dell Inc. Dell Pro Max 16 MC16250
Geekbench AI Score
14684
Single Precision Score
28884
Half Precision Score
11809
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 20 2025 08:36 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 1000 Blackwell Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro Max 16 MC16250 |
| Motherboard | Dell Inc. 0CFP7M |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6108
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
11786
2.19 KIPS |
|
|
Image Classification (Q)
|
99% |
5772
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10528
170.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17549
284.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9712
157.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
62325
72.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
216098
252.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
62123
72.8 IPS |
|
|
Object Detection (SP)
|
100% |
7742
614.1 IPS |
|
|
Object Detection (HP)
|
100% |
14406
1.14 KIPS |
|
|
Object Detection (Q)
|
87% |
6988
560.8 IPS |
|
|
Face Detection (SP)
|
100% |
19586
232.7 IPS |
|
|
Face Detection (HP)
|
100% |
32863
390.5 IPS |
|
|
Face Detection (Q)
|
97% |
17643
210.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
33738
259.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
79270
610.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
28937
231.4 IPS |
|
|
Style Transfer (SP)
|
100% |
98203
126.2 IPS |
|
|
Style Transfer (HP)
|
100% |
352728
453.4 IPS |
|
|
Style Transfer (Q)
|
98% |
84218
108.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19374
715.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40029
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15728
582.4 IPS |
|
|
Text Classification (SP)
|
100% |
2837
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3832
5.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1804
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4212
72.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4454
76.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1777
33.3 IPS |
