iPad Pro 11-inch (M4)
Geekbench AI Score
4971
Single Precision Score
8040
Half Precision Score
6404
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 10:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2118
393.9 IPS |
|
|
Image Classification (HP)
|
100% |
3392
630.8 IPS |
|
|
Image Classification (Q)
|
96% |
2338
436.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3177
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3534
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10085
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19481
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16655
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2440
193.5 IPS |
|
|
Object Detection (HP)
|
97% |
3835
305.3 IPS |
|
|
Object Detection (Q)
|
94% |
2694
214.7 IPS |
|
|
Face Detection (SP)
|
100% |
4290
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7596
90.3 IPS |
|
|
Face Detection (Q)
|
100% |
4381
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8520
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14067
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9860
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24395
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38717
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31722
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6091
224.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7201
265.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5011
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
3310
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5785
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5704
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4614
79.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8138
140.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8002
138.3 IPS |
