iPad Pro 13-inch (M4)
Geekbench AI Score
9991
Single Precision Score
11822
Half Precision Score
10926
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | randymassey |
| Upload Date | October 05 2025 08:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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% |
4528
842.0 IPS |
|
|
Image Classification (HP)
|
100% |
5002
930.2 IPS |
|
|
Image Classification (Q)
|
96% |
4444
829.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7089
114.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7968
129.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7681
124.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
26874
31.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
30951
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30121
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4583
363.5 IPS |
|
|
Object Detection (HP)
|
100% |
5166
409.8 IPS |
|
|
Object Detection (Q)
|
92% |
4766
380.5 IPS |
|
|
Face Detection (SP)
|
100% |
12580
149.5 IPS |
|
|
Face Detection (HP)
|
100% |
16728
198.8 IPS |
|
|
Face Detection (Q)
|
100% |
13426
159.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19915
153.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22316
171.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
20330
158.8 IPS |
|
|
Style Transfer (SP)
|
100% |
54979
70.7 IPS |
|
|
Style Transfer (HP)
|
100% |
67067
86.2 IPS |
|
|
Style Transfer (Q)
|
96% |
64779
83.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11315
417.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11706
432.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10292
380.0 IPS |
|
|
Text Classification (SP)
|
100% |
3319
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5743
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5710
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4849
83.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4972
85.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4765
82.3 IPS |
