iPad Pro 13-inch (M4)
Geekbench AI Score
9855
Single Precision Score
11479
Half Precision Score
10600
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 04:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4538
843.8 IPS |
|
|
Image Classification (HP)
|
100% |
4960
922.5 IPS |
|
|
Image Classification (Q)
|
96% |
4454
831.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7078
114.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7957
129.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7684
124.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27080
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30971
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30134
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4581
363.3 IPS |
|
|
Object Detection (HP)
|
100% |
5113
405.6 IPS |
|
|
Object Detection (Q)
|
92% |
4683
373.8 IPS |
|
|
Face Detection (SP)
|
100% |
11419
135.7 IPS |
|
|
Face Detection (HP)
|
100% |
16516
196.2 IPS |
|
|
Face Detection (Q)
|
100% |
13456
159.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19721
151.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17502
134.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
17247
134.7 IPS |
|
|
Style Transfer (SP)
|
100% |
53911
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
66367
85.3 IPS |
|
|
Style Transfer (Q)
|
96% |
63390
81.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11932
440.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11536
426.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9341
344.9 IPS |
|
|
Text Classification (SP)
|
100% |
3306
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5616
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5611
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4530
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5115
88.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4812
83.2 IPS |
