iPad Pro 11-inch (M4)
Geekbench AI Score
4874
Single Precision Score
7895
Half Precision Score
6284
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 22 2025 06:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2075
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
3387
629.8 IPS |
|
|
Image Classification (Q)
|
96% |
2324
434.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3185
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3509
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10241
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19342
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16573
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2403
190.6 IPS |
|
|
Object Detection (HP)
|
97% |
3749
298.4 IPS |
|
|
Object Detection (Q)
|
94% |
2682
213.7 IPS |
|
|
Face Detection (SP)
|
100% |
4216
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
7465
88.7 IPS |
|
|
Face Detection (Q)
|
100% |
4296
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8388
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13983
108.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9836
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24441
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38547
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31587
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5578
206.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7170
264.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4996
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
3253
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5609
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5600
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4474
77.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7441
128.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7094
122.6 IPS |
