iPad Pro 11-inch (M4)
Geekbench AI Score
9770
Single Precision Score
11331
Half Precision Score
10312
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 20 2025 03:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4480
833.1 IPS |
|
|
Image Classification (HP)
|
100% |
4817
895.8 IPS |
|
|
Image Classification (Q)
|
96% |
4614
861.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7186
116.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7922
128.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7622
123.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27924
32.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
29745
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29447
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4540
360.1 IPS |
|
|
Object Detection (HP)
|
100% |
5162
409.5 IPS |
|
|
Object Detection (Q)
|
92% |
4732
377.7 IPS |
|
|
Face Detection (SP)
|
100% |
12631
150.1 IPS |
|
|
Face Detection (HP)
|
100% |
16535
196.5 IPS |
|
|
Face Detection (Q)
|
100% |
13332
158.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20547
158.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
21940
169.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
20141
157.3 IPS |
|
|
Style Transfer (SP)
|
100% |
56438
72.6 IPS |
|
|
Style Transfer (HP)
|
100% |
66310
85.2 IPS |
|
|
Style Transfer (Q)
|
96% |
64485
83.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11465
423.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11510
425.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10309
380.7 IPS |
|
|
Text Classification (SP)
|
100% |
3076
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
5423
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5647
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3759
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3967
68.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2755
47.6 IPS |
