iPad Pro 11-inch (M4)
Geekbench AI Score
8570
Single Precision Score
10555
Half Precision Score
9551
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Fritzt |
| Upload Date | March 02 2025 07:11 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
4487
834.5 IPS |
|
|
Image Classification (HP)
|
100% |
4870
905.7 IPS |
|
|
Image Classification (Q)
|
97% |
4125
769.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4815
78.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6736
109.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7101
115.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27707
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29800
34.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
28395
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
4646
368.5 IPS |
|
|
Object Detection (HP)
|
100% |
5161
409.4 IPS |
|
|
Object Detection (Q)
|
91% |
4398
351.5 IPS |
|
|
Face Detection (SP)
|
100% |
12770
151.7 IPS |
|
|
Face Detection (HP)
|
100% |
16415
195.1 IPS |
|
|
Face Detection (Q)
|
100% |
11948
142.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20235
155.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22269
171.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
19300
150.9 IPS |
|
|
Style Transfer (SP)
|
100% |
55344
71.1 IPS |
|
|
Style Transfer (HP)
|
100% |
66373
85.3 IPS |
|
|
Style Transfer (Q)
|
96% |
62421
80.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11476
423.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12672
467.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10266
379.1 IPS |
|
|
Text Classification (SP)
|
100% |
2994
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5289
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5600
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1564
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2092
36.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2088
36.1 IPS |
