iPad Pro 11-inch (M4)
Geekbench AI Score
9687
Single Precision Score
11312
Half Precision Score
10222
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 09 2025 07:33 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
4486
834.2 IPS |
|
|
Image Classification (HP)
|
100% |
4999
929.7 IPS |
|
|
Image Classification (Q)
|
96% |
3959
739.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7173
116.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8104
131.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7640
123.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27693
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29888
34.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
29193
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
4557
361.5 IPS |
|
|
Object Detection (HP)
|
100% |
5130
406.9 IPS |
|
|
Object Detection (Q)
|
92% |
4780
381.5 IPS |
|
|
Face Detection (SP)
|
100% |
12618
149.9 IPS |
|
|
Face Detection (HP)
|
100% |
16347
194.2 IPS |
|
|
Face Detection (Q)
|
100% |
12955
153.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20103
154.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
21906
168.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
20834
162.7 IPS |
|
|
Style Transfer (SP)
|
100% |
55198
71.0 IPS |
|
|
Style Transfer (HP)
|
100% |
65487
84.2 IPS |
|
|
Style Transfer (Q)
|
96% |
64666
83.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11655
430.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11491
424.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10845
400.4 IPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5548
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5450
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3726
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3697
63.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2862
49.5 IPS |
