iPad Pro 11-inch (M4)
Geekbench AI Score
10075
Single Precision Score
11866
Half Precision Score
10280
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 03:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
4525
841.4 IPS |
|
|
Image Classification (HP)
|
100% |
4967
923.7 IPS |
|
|
Image Classification (Q)
|
96% |
4476
835.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7138
115.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8018
130.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7711
125.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27145
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31016
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30167
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4634
367.6 IPS |
|
|
Object Detection (HP)
|
100% |
5179
410.8 IPS |
|
|
Object Detection (Q)
|
92% |
4808
383.8 IPS |
|
|
Face Detection (SP)
|
100% |
12668
150.5 IPS |
|
|
Face Detection (HP)
|
100% |
16869
200.4 IPS |
|
|
Face Detection (Q)
|
100% |
13627
161.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20269
156.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22276
171.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
20342
158.9 IPS |
|
|
Style Transfer (SP)
|
100% |
56321
72.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67225
86.4 IPS |
|
|
Style Transfer (Q)
|
96% |
65484
84.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11336
418.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11762
434.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10274
379.4 IPS |
|
|
Text Classification (SP)
|
100% |
3326
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5843
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5690
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4868
83.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4983
85.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2482
42.9 IPS |
