iPad Pro 11-inch (M4)
Geekbench AI Score
8974
Single Precision Score
11134
Half Precision Score
9873
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 06 2026 08:50 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
4509
838.5 IPS |
|
|
Image Classification (HP)
|
100% |
4967
923.7 IPS |
|
|
Image Classification (Q)
|
96% |
4425
826.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7072
114.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7933
128.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7642
123.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27111
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30992
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30174
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4591
364.2 IPS |
|
|
Object Detection (HP)
|
100% |
5194
412.0 IPS |
|
|
Object Detection (Q)
|
92% |
4853
387.4 IPS |
|
|
Face Detection (SP)
|
100% |
12616
149.9 IPS |
|
|
Face Detection (HP)
|
100% |
16776
199.3 IPS |
|
|
Face Detection (Q)
|
100% |
13422
159.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19987
154.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22318
171.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
20838
162.8 IPS |
|
|
Style Transfer (SP)
|
100% |
55880
71.8 IPS |
|
|
Style Transfer (HP)
|
100% |
67285
86.5 IPS |
|
|
Style Transfer (Q)
|
96% |
65285
84.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11369
419.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11732
433.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10278
379.5 IPS |
|
|
Text Classification (SP)
|
100% |
3312
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5645
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5678
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1610
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2768
47.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1669
28.8 IPS |
