iPad Pro 11-inch (M4)
Geekbench AI Score
9413
Single Precision Score
11137
Half Precision Score
10021
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | BirdsLikeWires |
| Upload Date | September 09 2025 01:22 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4417
821.3 IPS |
|
|
Image Classification (HP)
|
100% |
4787
890.3 IPS |
|
|
Image Classification (Q)
|
96% |
4507
841.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7107
115.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7860
127.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7584
122.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27397
32.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
29702
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29397
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
4561
361.8 IPS |
|
|
Object Detection (HP)
|
100% |
5118
406.0 IPS |
|
|
Object Detection (Q)
|
92% |
4719
376.7 IPS |
|
|
Face Detection (SP)
|
100% |
12614
149.9 IPS |
|
|
Face Detection (HP)
|
100% |
16537
196.5 IPS |
|
|
Face Detection (Q)
|
100% |
13330
158.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20372
157.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
21979
169.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
20192
157.7 IPS |
|
|
Style Transfer (SP)
|
100% |
56019
72.0 IPS |
|
|
Style Transfer (HP)
|
100% |
66024
84.9 IPS |
|
|
Style Transfer (Q)
|
96% |
63823
82.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11405
421.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11532
425.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10358
382.5 IPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5306
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5264
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2874
49.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3498
60.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2300
39.8 IPS |
