iPad Pro 11-inch (M4)
Geekbench AI Score
9717
Single Precision Score
11417
Half Precision Score
10253
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 24 2025 07:31 PM |
| Views | 1 |
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 | iPad16,4 |
| 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% |
4523
841.2 IPS |
|
|
Image Classification (HP)
|
100% |
4903
911.8 IPS |
|
|
Image Classification (Q)
|
96% |
4513
842.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7175
116.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7948
128.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7726
125.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27834
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
29782
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
29475
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4578
363.2 IPS |
|
|
Object Detection (HP)
|
100% |
5150
408.5 IPS |
|
|
Object Detection (Q)
|
92% |
4732
377.7 IPS |
|
|
Face Detection (SP)
|
100% |
12754
151.5 IPS |
|
|
Face Detection (HP)
|
100% |
16613
197.4 IPS |
|
|
Face Detection (Q)
|
100% |
13345
158.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20450
157.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
21925
168.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
20213
157.9 IPS |
|
|
Style Transfer (SP)
|
100% |
57024
73.3 IPS |
|
|
Style Transfer (HP)
|
100% |
66094
85.0 IPS |
|
|
Style Transfer (Q)
|
96% |
64255
82.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11540
426.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11549
426.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10309
380.7 IPS |
|
|
Text Classification (SP)
|
100% |
2971
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5524
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5407
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3561
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4102
70.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2734
47.2 IPS |
