iPad Pro 11-inch (M4)
Geekbench AI Score
4933
Single Precision Score
35977
Half Precision Score
50445
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 06 2025 06:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
16959
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
22702
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22325
361.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30965
502.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9954
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122746
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231976
271.9 IPS |
|
|
Object Detection (SP)
|
100% |
2439
193.5 IPS |
|
|
Object Detection (HP)
|
100% |
17712
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25175
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4277
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
42995
510.9 IPS |
|
|
Face Detection (Q)
|
100% |
61619
732.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8512
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
98535
759.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
162988
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24386
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233185
299.8 IPS |
|
|
Style Transfer (Q)
|
96% |
320187
413.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6039
223.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50183
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82687
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5472
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5462
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4585
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16270
280.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17899
309.3 IPS |
