iPad Pro 11-inch (M4)
Geekbench AI Score
4965
Single Precision Score
36619
Half Precision Score
51104
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | piotrga |
| Upload Date | September 21 2025 10:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2095
389.6 IPS |
|
|
Image Classification (HP)
|
100% |
18939
3.52 KIPS |
|
|
Image Classification (Q)
|
97% |
23896
4.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22447
363.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31060
503.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10073
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123001
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232563
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2442
193.7 IPS |
|
|
Object Detection (HP)
|
100% |
17926
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25984
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4285
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
42353
503.2 IPS |
|
|
Face Detection (Q)
|
100% |
62213
739.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8523
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
98796
761.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
160141
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24463
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
233628
300.3 IPS |
|
|
Style Transfer (Q)
|
96% |
320858
414.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6069
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50820
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83055
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3317
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5584
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5555
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4607
79.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16676
287.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18367
317.4 IPS |
