iPad Pro 11-inch (M4)
Geekbench AI Score
10101
Single Precision Score
11958
Half Precision Score
11111
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 10:58 AM |
| Views | 2 |
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% |
4574
850.7 IPS |
|
|
Image Classification (HP)
|
100% |
5084
945.4 IPS |
|
|
Image Classification (Q)
|
96% |
4497
839.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7251
117.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8002
129.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7729
125.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
27206
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31058
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30204
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4621
366.5 IPS |
|
|
Object Detection (HP)
|
100% |
5220
414.0 IPS |
|
|
Object Detection (Q)
|
92% |
4828
385.3 IPS |
|
|
Face Detection (SP)
|
100% |
12725
151.2 IPS |
|
|
Face Detection (HP)
|
100% |
16883
200.6 IPS |
|
|
Face Detection (Q)
|
100% |
13476
160.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20165
155.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22365
172.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
20701
161.7 IPS |
|
|
Style Transfer (SP)
|
100% |
55617
71.5 IPS |
|
|
Style Transfer (HP)
|
100% |
68273
87.8 IPS |
|
|
Style Transfer (Q)
|
96% |
66342
85.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11389
420.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11744
433.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10366
382.8 IPS |
|
|
Text Classification (SP)
|
100% |
3300
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5706
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6066
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4948
85.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5248
90.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4866
84.1 IPS |
