iPad Pro 13-inch (M4)
Geekbench AI Score
9769
Single Precision Score
11596
Half Precision Score
10419
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 25 2025 07:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4514
839.4 IPS |
|
|
Image Classification (HP)
|
100% |
4873
906.2 IPS |
|
|
Image Classification (Q)
|
96% |
4517
843.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7240
117.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7983
129.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7750
125.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
28119
32.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
29941
34.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
29211
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
4566
362.1 IPS |
|
|
Object Detection (HP)
|
100% |
5194
412.0 IPS |
|
|
Object Detection (Q)
|
92% |
4773
381.0 IPS |
|
|
Face Detection (SP)
|
100% |
12811
152.2 IPS |
|
|
Face Detection (HP)
|
100% |
16598
197.2 IPS |
|
|
Face Detection (Q)
|
100% |
13457
159.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20604
158.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22573
173.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
21073
164.8 IPS |
|
|
Style Transfer (SP)
|
100% |
57124
73.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67103
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
64723
83.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11639
429.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12759
471.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11111
410.3 IPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5485
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5452
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3669
63.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4133
71.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2779
48.0 IPS |
