iPad Pro 13-inch (M4)
Geekbench AI Score
4856
Single Precision Score
36889
Half Precision Score
51787
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 03:24 PM |
| Views | 3 |
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% |
2041
379.5 IPS |
|
|
Image Classification (HP)
|
100% |
18911
3.52 KIPS |
|
|
Image Classification (Q)
|
97% |
26057
4.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22418
363.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
29387
476.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9790
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
120740
140.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231278
271.1 IPS |
|
|
Object Detection (SP)
|
100% |
2396
190.1 IPS |
|
|
Object Detection (HP)
|
100% |
18611
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26339
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4056
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
42477
504.7 IPS |
|
|
Face Detection (Q)
|
100% |
63095
749.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8464
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99702
768.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
167892
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
23442
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
233970
300.8 IPS |
|
|
Style Transfer (Q)
|
96% |
319391
412.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5951
219.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51908
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85355
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3333
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
5708
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5672
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4529
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16686
287.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18159
313.8 IPS |
