iPad Pro 11-inch (M4)
Geekbench AI Score
9131
Single Precision Score
10946
Half Precision Score
10310
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 11 2025 12:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4413
820.7 IPS |
|
|
Image Classification (HP)
|
100% |
4737
880.9 IPS |
|
|
Image Classification (Q)
|
96% |
4445
830.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7049
114.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7886
127.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7584
122.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27266
31.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
29694
34.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
28976
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
4155
329.6 IPS |
|
|
Object Detection (HP)
|
100% |
5106
405.0 IPS |
|
|
Object Detection (Q)
|
92% |
4706
375.7 IPS |
|
|
Face Detection (SP)
|
100% |
12440
147.8 IPS |
|
|
Face Detection (HP)
|
100% |
16259
193.2 IPS |
|
|
Face Detection (Q)
|
100% |
13182
156.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20340
156.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22291
171.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
20184
157.7 IPS |
|
|
Style Transfer (SP)
|
100% |
55128
70.9 IPS |
|
|
Style Transfer (HP)
|
100% |
65785
84.6 IPS |
|
|
Style Transfer (Q)
|
96% |
64338
83.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12329
455.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12176
449.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10588
391.0 IPS |
|
|
Text Classification (SP)
|
100% |
2980
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5428
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5481
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2231
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2768
47.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2974
51.4 IPS |
