iPad Pro 11-inch (M4)
Geekbench AI Score
10047
Single Precision Score
11950
Half Precision Score
10253
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 09:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
4523
841.2 IPS |
|
|
Image Classification (HP)
|
100% |
5004
930.6 IPS |
|
|
Image Classification (Q)
|
96% |
4467
834.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7135
115.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7986
129.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7737
125.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27165
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30991
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30212
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4630
367.2 IPS |
|
|
Object Detection (HP)
|
100% |
5176
410.5 IPS |
|
|
Object Detection (Q)
|
92% |
4834
385.9 IPS |
|
|
Face Detection (SP)
|
100% |
12736
151.3 IPS |
|
|
Face Detection (HP)
|
100% |
16872
200.5 IPS |
|
|
Face Detection (Q)
|
100% |
13553
161.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20103
154.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22210
171.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
20302
158.6 IPS |
|
|
Style Transfer (SP)
|
100% |
55474
71.3 IPS |
|
|
Style Transfer (HP)
|
100% |
67159
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
65350
84.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11345
418.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11704
432.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10274
379.4 IPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5976
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5880
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4952
85.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5264
90.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2342
40.5 IPS |
