iPad Pro 11-inch (M4)
Geekbench AI Score
4836
Single Precision Score
7930
Half Precision Score
6316
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 31 2025 07:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2053
381.8 IPS |
|
|
Image Classification (HP)
|
100% |
3345
622.1 IPS |
|
|
Image Classification (Q)
|
96% |
2307
430.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2173
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3199
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3544
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9961
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19519
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16676
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2416
191.7 IPS |
|
|
Object Detection (HP)
|
97% |
3807
303.0 IPS |
|
|
Object Detection (Q)
|
94% |
2690
214.4 IPS |
|
|
Face Detection (SP)
|
100% |
4281
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
7779
92.4 IPS |
|
|
Face Detection (Q)
|
100% |
4414
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8599
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14533
112.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10171
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22157
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38263
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31512
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6049
223.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7302
269.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5078
187.5 IPS |
|
|
Text Classification (SP)
|
100% |
2984
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5441
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5408
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4428
76.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7198
124.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7093
122.6 IPS |
