iPad Pro 13-inch (M4)
Geekbench AI Score
4922
Single Precision Score
36111
Half Precision Score
50806
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 04:16 PM |
| Views | 1 |
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% |
2067
384.3 IPS |
|
|
Image Classification (HP)
|
100% |
16821
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
22902
4.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22404
363.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30888
500.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9975
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123370
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
230709
270.4 IPS |
|
|
Object Detection (SP)
|
100% |
2423
192.2 IPS |
|
|
Object Detection (HP)
|
100% |
18116
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25622
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4211
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
42199
501.4 IPS |
|
|
Face Detection (Q)
|
100% |
62829
746.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8501
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98525
759.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
164630
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
23991
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
233166
299.7 IPS |
|
|
Style Transfer (Q)
|
96% |
319599
412.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6013
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50359
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82585
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3291
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5586
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5562
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4605
79.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16418
282.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18047
311.9 IPS |
