iPad Pro 11-inch (M4)
Geekbench AI Score
10077
Single Precision Score
11931
Half Precision Score
11105
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ajmaus |
| Upload Date | September 20 2025 11:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4526
841.7 IPS |
|
|
Image Classification (HP)
|
100% |
4994
928.7 IPS |
|
|
Image Classification (Q)
|
96% |
4451
831.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7120
115.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8005
129.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7716
125.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27074
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30996
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30169
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4609
365.6 IPS |
|
|
Object Detection (HP)
|
100% |
5293
419.9 IPS |
|
|
Object Detection (Q)
|
92% |
4823
385.0 IPS |
|
|
Face Detection (SP)
|
100% |
12712
151.0 IPS |
|
|
Face Detection (HP)
|
100% |
16871
200.5 IPS |
|
|
Face Detection (Q)
|
100% |
13503
160.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20146
155.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22519
173.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
20506
160.2 IPS |
|
|
Style Transfer (SP)
|
100% |
55496
71.3 IPS |
|
|
Style Transfer (HP)
|
100% |
67238
86.4 IPS |
|
|
Style Transfer (Q)
|
96% |
65480
84.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11349
419.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11804
435.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10325
381.2 IPS |
|
|
Text Classification (SP)
|
100% |
3409
4.55 KIPS |
|
|
Text Classification (HP)
|
99% |
5693
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5789
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4884
84.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5194
89.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5267
91.0 IPS |
