Dell Inc. Dell Pro Max 16 MC16250
Geekbench AI Score
4893
Single Precision Score
1979
Half Precision Score
8876
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 20 2025 08:35 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265H |
| 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% |
3643
677.6 IPS |
|
|
Image Classification (HP)
|
100% |
732
136.1 IPS |
|
|
Image Classification (Q)
|
99% |
8417
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2499
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11376
185.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8185
9.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
5292
6.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
28202
33.1 IPS |
|
|
Object Detection (SP)
|
100% |
3515
278.8 IPS |
|
|
Object Detection (HP)
|
100% |
959
76.1 IPS |
|
|
Object Detection (Q)
|
86% |
8617
692.5 IPS |
|
|
Face Detection (SP)
|
100% |
10067
119.6 IPS |
|
|
Face Detection (HP)
|
100% |
1875
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
10862
129.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10252
79.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2872
22.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
19475
155.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19622
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13611
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
27124
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2980
110.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2348
86.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4396
162.8 IPS |
|
|
Text Classification (SP)
|
100% |
1896
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
896
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1514
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2628
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1235
21.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3419
68.7 IPS |
