iPad Pro 11-inch (M4)
Geekbench AI Score
10081
Single Precision Score
11920
Half Precision Score
11071
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 12:51 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
4547
845.6 IPS |
|
|
Image Classification (HP)
|
100% |
5016
932.8 IPS |
|
|
Image Classification (Q)
|
96% |
4461
833.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7123
115.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7997
129.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7715
125.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27153
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30971
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30175
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4630
367.2 IPS |
|
|
Object Detection (HP)
|
100% |
5253
416.6 IPS |
|
|
Object Detection (Q)
|
92% |
4806
383.6 IPS |
|
|
Face Detection (SP)
|
100% |
12765
151.7 IPS |
|
|
Face Detection (HP)
|
100% |
16871
200.5 IPS |
|
|
Face Detection (Q)
|
100% |
13520
160.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20112
155.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22277
171.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
20232
158.0 IPS |
|
|
Style Transfer (SP)
|
100% |
55546
71.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67142
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
65311
84.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11353
419.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11746
433.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10400
384.0 IPS |
|
|
Text Classification (SP)
|
100% |
3341
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5742
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5725
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4922
84.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5217
89.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5214
90.1 IPS |
