iPad Pro 11-inch (M4)
Geekbench AI Score
4868
Single Precision Score
7950
Half Precision Score
6394
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | alifeinpixels |
| Upload Date | September 24 2025 10:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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% |
2100
390.5 IPS |
|
|
Image Classification (HP)
|
100% |
3362
625.2 IPS |
|
|
Image Classification (Q)
|
96% |
2349
438.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2222
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3278
53.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3663
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10081
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19534
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16691
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2435
193.1 IPS |
|
|
Object Detection (HP)
|
97% |
3773
300.4 IPS |
|
|
Object Detection (Q)
|
94% |
2710
216.0 IPS |
|
|
Face Detection (SP)
|
100% |
4356
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
7816
92.9 IPS |
|
|
Face Detection (Q)
|
100% |
4511
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8690
67.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14622
113.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10260
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21865
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38351
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31822
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6127
226.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7102
262.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5000
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5580
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5609
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4411
76.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7156
123.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7106
122.8 IPS |
