iPad Pro 13-inch (M4)
Geekbench AI Score
4934
Single Precision Score
8001
Half Precision Score
6370
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 20 2025 11:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2058
382.6 IPS |
|
|
Image Classification (HP)
|
100% |
3367
626.2 IPS |
|
|
Image Classification (Q)
|
96% |
2313
432.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3187
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3497
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9998
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19379
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16423
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2435
193.2 IPS |
|
|
Object Detection (HP)
|
97% |
3732
297.1 IPS |
|
|
Object Detection (Q)
|
94% |
2671
212.9 IPS |
|
|
Face Detection (SP)
|
100% |
4223
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
7338
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
4345
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8517
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13882
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9771
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23743
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39413
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32215
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6088
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7223
266.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5031
185.8 IPS |
|
|
Text Classification (SP)
|
100% |
3358
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
5919
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5834
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4600
79.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8075
139.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7734
133.7 IPS |
