iPad Pro 11-inch (M4)
Geekbench AI Score
9756
Single Precision Score
11599
Half Precision Score
10421
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Benster412 |
| Upload Date | May 07 2025 04:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
4454
828.3 IPS |
|
|
Image Classification (HP)
|
100% |
5023
934.1 IPS |
|
|
Image Classification (Q)
|
96% |
4563
852.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7142
115.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7935
128.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7622
123.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27823
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
29875
34.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
29082
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
4589
364.0 IPS |
|
|
Object Detection (HP)
|
100% |
5180
410.9 IPS |
|
|
Object Detection (Q)
|
92% |
4762
380.1 IPS |
|
|
Face Detection (SP)
|
100% |
12737
151.3 IPS |
|
|
Face Detection (HP)
|
100% |
16659
197.9 IPS |
|
|
Face Detection (Q)
|
100% |
13439
159.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20564
158.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22621
174.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
20757
162.3 IPS |
|
|
Style Transfer (SP)
|
100% |
56313
72.4 IPS |
|
|
Style Transfer (HP)
|
100% |
66671
85.7 IPS |
|
|
Style Transfer (Q)
|
96% |
64420
83.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11545
426.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12728
470.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11055
408.2 IPS |
|
|
Text Classification (SP)
|
100% |
2963
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5400
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5464
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3812
65.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4139
71.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2891
50.0 IPS |
