Dell Inc. Dell Pro Max 14 MC14250 GPU Dell Inc. Dell Pro Max 14 MC14250
Geekbench AI Score
10377
Single Precision Score
23602
Half Precision Score
30177
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jrybolt |
| Upload Date | June 17 2025 08:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Pro 140T GPU (8GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro Max 14 MC14250 |
| Motherboard | Dell Inc. 0K9TDW |
| Power Plan | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6928
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
13110
2.44 KIPS |
|
|
Image Classification (Q)
|
100% |
17520
3.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8167
132.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20296
329.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24722
400.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
25307
29.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
101391
118.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
191442
224.1 IPS |
|
|
Object Detection (SP)
|
100% |
6658
528.1 IPS |
|
|
Object Detection (HP)
|
100% |
13946
1.11 KIPS |
|
|
Object Detection (Q)
|
88% |
17881
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
11427
135.8 IPS |
|
|
Face Detection (HP)
|
100% |
24810
294.8 IPS |
|
|
Face Detection (Q)
|
100% |
32931
391.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21420
165.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
47133
363.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
67256
522.8 IPS |
|
|
Style Transfer (SP)
|
100% |
62082
79.8 IPS |
|
|
Style Transfer (HP)
|
100% |
169239
217.6 IPS |
|
|
Style Transfer (Q)
|
98% |
275574
355.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10177
375.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31291
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38305
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
3347
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4379
5.85 KIPS |
|
|
Text Classification (Q)
|
92% |
3445
4.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2935
50.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5259
90.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5245
90.3 IPS |
