iPad Pro 11-inch (M4)
Geekbench AI Score
9637
Single Precision Score
11645
Half Precision Score
10566
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 19 2025 10:48 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 | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4622
859.5 IPS |
|
|
Image Classification (HP)
|
100% |
5044
938.1 IPS |
|
|
Image Classification (Q)
|
96% |
4668
871.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7199
116.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8030
130.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7762
125.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27856
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
29957
35.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
29218
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
4638
367.9 IPS |
|
|
Object Detection (HP)
|
100% |
5226
414.5 IPS |
|
|
Object Detection (Q)
|
92% |
4789
382.3 IPS |
|
|
Face Detection (SP)
|
100% |
12670
150.5 IPS |
|
|
Face Detection (HP)
|
100% |
16477
195.8 IPS |
|
|
Face Detection (Q)
|
100% |
13365
158.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20565
158.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22666
174.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
20916
163.5 IPS |
|
|
Style Transfer (SP)
|
100% |
57263
73.6 IPS |
|
|
Style Transfer (HP)
|
100% |
66425
85.4 IPS |
|
|
Style Transfer (Q)
|
96% |
64708
83.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11701
432.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13049
481.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11312
417.7 IPS |
|
|
Text Classification (SP)
|
100% |
3025
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5444
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5620
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3046
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4106
70.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2975
51.4 IPS |
