iPad Pro 11-inch (M4)
Geekbench AI Score
2690
Single Precision Score
4364
Half Precision Score
3421
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 10 2025 08:38 PM |
| Views | 5 |
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% |
1071
199.2 IPS |
|
|
Image Classification (HP)
|
100% |
1800
334.8 IPS |
|
|
Image Classification (Q)
|
96% |
1210
226.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1137
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1849
30.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1849
30.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5607
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
10375
12.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
8791
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
1296
102.8 IPS |
|
|
Object Detection (HP)
|
97% |
2016
160.5 IPS |
|
|
Object Detection (Q)
|
94% |
1416
112.9 IPS |
|
|
Face Detection (SP)
|
100% |
2241
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
3976
47.2 IPS |
|
|
Face Detection (Q)
|
100% |
2261
26.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4570
35.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
7396
57.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
5185
40.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13042
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20768
26.7 IPS |
|
|
Style Transfer (Q)
|
96% |
16938
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3344
123.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3937
145.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2711
100.1 IPS |
|
|
Text Classification (SP)
|
100% |
1911
2.55 KIPS |
|
|
Text Classification (HP)
|
99% |
3182
4.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3182
4.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2628
45.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4706
81.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4608
79.6 IPS |
