iPad Pro 11-inch (M4)
Geekbench AI Score
10053
Single Precision Score
11866
Half Precision Score
11030
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 05 2026 04:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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% |
4686
871.5 IPS |
|
|
Image Classification (HP)
|
100% |
5041
937.5 IPS |
|
|
Image Classification (Q)
|
96% |
4555
850.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7194
116.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7968
129.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7675
124.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27097
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30988
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30186
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4611
365.8 IPS |
|
|
Object Detection (HP)
|
100% |
5208
413.1 IPS |
|
|
Object Detection (Q)
|
92% |
4785
382.0 IPS |
|
|
Face Detection (SP)
|
100% |
12603
149.8 IPS |
|
|
Face Detection (HP)
|
100% |
16731
198.8 IPS |
|
|
Face Detection (Q)
|
100% |
13375
158.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20081
154.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22236
171.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
20372
159.1 IPS |
|
|
Style Transfer (SP)
|
100% |
55563
71.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67667
87.0 IPS |
|
|
Style Transfer (Q)
|
96% |
65492
84.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11355
419.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11702
432.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10288
379.9 IPS |
|
|
Text Classification (SP)
|
100% |
3235
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5600
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5580
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4848
83.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5179
89.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5153
89.0 IPS |
