iPad Pro 11-inch (M4)
Geekbench AI Score
4979
Single Precision Score
8047
Half Precision Score
6449
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 10:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2123
394.7 IPS |
|
|
Image Classification (HP)
|
100% |
3399
632.0 IPS |
|
|
Image Classification (Q)
|
96% |
2368
442.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2162
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3196
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3545
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10093
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19464
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16659
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2451
194.4 IPS |
|
|
Object Detection (HP)
|
97% |
3813
303.6 IPS |
|
|
Object Detection (Q)
|
94% |
2701
215.3 IPS |
|
|
Face Detection (SP)
|
100% |
4301
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
7701
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
4393
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8535
65.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14099
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9920
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24435
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38740
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31729
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6107
225.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7167
264.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5003
184.7 IPS |
|
|
Text Classification (SP)
|
100% |
3283
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5784
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5871
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4594
79.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8103
140.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8112
140.2 IPS |
