iPad Pro 13-inch (M4)
Geekbench AI Score
4966
Single Precision Score
36187
Half Precision Score
50916
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Kurtp |
| Upload Date | December 02 2025 11:10 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2130
396.1 IPS |
|
|
Image Classification (HP)
|
100% |
16784
3.12 KIPS |
|
|
Image Classification (Q)
|
97% |
23329
4.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22431
363.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
31061
503.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10014
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123050
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
231650
271.5 IPS |
|
|
Object Detection (SP)
|
100% |
2448
194.1 IPS |
|
|
Object Detection (HP)
|
100% |
17748
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25624
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4320
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
43565
517.6 IPS |
|
|
Face Detection (Q)
|
100% |
62526
742.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8538
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98745
760.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
160392
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24494
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
233645
300.4 IPS |
|
|
Style Transfer (Q)
|
96% |
321759
415.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6070
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50985
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82342
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3213
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5579
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5582
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4578
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16384
282.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18356
317.2 IPS |
