iPad Pro 11-inch (M4)
Geekbench AI Score
9707
Single Precision Score
11428
Half Precision Score
10460
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 22 2025 10:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4406
819.4 IPS |
|
|
Image Classification (HP)
|
100% |
4907
912.5 IPS |
|
|
Image Classification (Q)
|
96% |
4504
841.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7150
115.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7950
128.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7657
124.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
26972
31.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
30949
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30181
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4592
364.2 IPS |
|
|
Object Detection (HP)
|
100% |
5187
411.5 IPS |
|
|
Object Detection (Q)
|
92% |
4719
376.7 IPS |
|
|
Face Detection (SP)
|
100% |
12629
150.1 IPS |
|
|
Face Detection (HP)
|
100% |
16519
196.3 IPS |
|
|
Face Detection (Q)
|
100% |
13322
158.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19895
153.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22139
170.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
20551
160.5 IPS |
|
|
Style Transfer (SP)
|
100% |
55947
71.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66995
86.1 IPS |
|
|
Style Transfer (Q)
|
96% |
64666
83.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11351
419.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11643
429.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10306
380.6 IPS |
|
|
Text Classification (SP)
|
100% |
2940
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5405
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5340
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4061
69.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3938
67.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3278
56.7 IPS |
