iPad Pro 11-inch (M4)
Geekbench AI Score
9351
Single Precision Score
10648
Half Precision Score
10185
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cesarjmoreno |
| Upload Date | June 07 2025 01:34 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4416
821.3 IPS |
|
|
Image Classification (HP)
|
100% |
4817
895.7 IPS |
|
|
Image Classification (Q)
|
96% |
4503
841.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7148
115.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7844
127.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7638
123.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27708
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29712
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29391
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
4539
360.1 IPS |
|
|
Object Detection (HP)
|
100% |
5148
408.3 IPS |
|
|
Object Detection (Q)
|
92% |
4750
379.1 IPS |
|
|
Face Detection (SP)
|
100% |
12683
150.7 IPS |
|
|
Face Detection (HP)
|
100% |
16576
197.0 IPS |
|
|
Face Detection (Q)
|
100% |
13370
158.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20383
157.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
21651
166.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
20003
156.2 IPS |
|
|
Style Transfer (SP)
|
100% |
55885
71.8 IPS |
|
|
Style Transfer (HP)
|
100% |
65637
84.4 IPS |
|
|
Style Transfer (Q)
|
96% |
63999
82.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11768
434.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11490
424.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10296
380.2 IPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5562
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5529
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2565
44.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2154
37.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2569
44.4 IPS |
