iPad Pro 11-inch (M4)
Geekbench AI Score
4941
Single Precision Score
36213
Half Precision Score
50883
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 03:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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% |
2086
388.0 IPS |
|
|
Image Classification (HP)
|
100% |
17576
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
23358
4.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22404
363.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31040
503.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10025
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122896
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232311
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
2434
193.1 IPS |
|
|
Object Detection (HP)
|
100% |
17570
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25814
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4252
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
42623
506.5 IPS |
|
|
Face Detection (Q)
|
100% |
62559
743.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8497
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98735
760.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
159636
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24237
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233004
299.5 IPS |
|
|
Style Transfer (Q)
|
96% |
318432
410.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6032
222.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50552
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84099
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3316
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5561
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5505
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4592
79.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16549
285.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18175
314.1 IPS |
