iPad Pro 11-inch (M4)
Geekbench AI Score
7996
Single Precision Score
8927
Half Precision Score
2923
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | 1145141919810 |
| Upload Date | August 26 2025 01:36 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4314
802.3 IPS |
|
|
Image Classification (HP)
|
100% |
4578
851.4 IPS |
|
|
Image Classification (Q)
|
97% |
3510
655.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4732
76.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6499
105.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6975
113.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
28284
33.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30181
35.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
27890
32.7 IPS |
|
|
Object Detection (SP)
|
100% |
4552
361.1 IPS |
|
|
Object Detection (HP)
|
100% |
4940
391.9 IPS |
|
|
Object Detection (Q)
|
92% |
3932
313.8 IPS |
|
|
Face Detection (SP)
|
100% |
11987
142.4 IPS |
|
|
Face Detection (HP)
|
100% |
15044
178.8 IPS |
|
|
Face Detection (Q)
|
100% |
10885
129.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20157
155.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22263
171.5 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
139.9 IPS |
|
|
Style Transfer (SP)
|
100% |
57004
73.3 IPS |
|
|
Style Transfer (HP)
|
100% |
67085
86.2 IPS |
|
|
Style Transfer (Q)
|
96% |
63232
81.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11454
423.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12513
462.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10045
370.9 IPS |
|
|
Text Classification (SP)
|
100% |
1609
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1651
2.20 KIPS |
|
|
Text Classification (Q)
|
93% |
1326
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1602
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1562
26.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1855
32.1 IPS |
