iPad Pro 11-inch (M4)
Geekbench AI Score
4636
Single Precision Score
7564
Half Precision Score
5838
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 05:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2019
375.5 IPS |
|
|
Image Classification (HP)
|
100% |
3373
627.4 IPS |
|
|
Image Classification (Q)
|
96% |
2269
423.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1923
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2927
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3310
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9540
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17752
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14578
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2346
186.1 IPS |
|
|
Object Detection (HP)
|
97% |
3618
288.0 IPS |
|
|
Object Detection (Q)
|
94% |
2579
205.5 IPS |
|
|
Face Detection (SP)
|
100% |
4005
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
6988
83.0 IPS |
|
|
Face Detection (Q)
|
100% |
3641
43.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8330
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13880
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
8570
66.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20070
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32915
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28048
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5856
216.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7217
266.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4491
165.8 IPS |
|
|
Text Classification (SP)
|
100% |
3095
4.13 KIPS |
|
|
Text Classification (HP)
|
99% |
5761
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5760
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4355
75.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7286
125.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7203
124.5 IPS |
