iPad Pro 13-inch (M4)
Geekbench AI Score
9482
Single Precision Score
11453
Half Precision Score
10028
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 01:05 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 | iPad16,5 |
| Motherboard | J720AP |
| 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 | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4381
814.8 IPS |
|
|
Image Classification (HP)
|
100% |
4795
891.8 IPS |
|
|
Image Classification (Q)
|
96% |
4356
813.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7028
113.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7899
128.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7611
123.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
26912
31.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
30938
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30120
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4529
359.2 IPS |
|
|
Object Detection (HP)
|
100% |
5080
403.0 IPS |
|
|
Object Detection (Q)
|
92% |
4736
378.1 IPS |
|
|
Face Detection (SP)
|
100% |
12425
147.6 IPS |
|
|
Face Detection (HP)
|
100% |
16634
197.7 IPS |
|
|
Face Detection (Q)
|
100% |
13282
157.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20085
154.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22231
171.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
20290
158.5 IPS |
|
|
Style Transfer (SP)
|
100% |
55463
71.3 IPS |
|
|
Style Transfer (HP)
|
100% |
66749
85.8 IPS |
|
|
Style Transfer (Q)
|
96% |
64491
83.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11297
417.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11440
422.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10117
373.6 IPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5560
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5597
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3130
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4157
71.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2210
38.2 IPS |
