iPad Pro 11-inch (M4)
Geekbench AI Score
4954
Single Precision Score
36507
Half Precision Score
52440
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Bearco |
| Upload Date | October 16 2025 10:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2067
384.5 IPS |
|
|
Image Classification (HP)
|
100% |
17460
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
27449
5.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22448
363.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31353
508.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10056
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122714
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232701
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2433
192.9 IPS |
|
|
Object Detection (HP)
|
100% |
17923
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26390
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4289
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
42550
505.6 IPS |
|
|
Face Detection (Q)
|
100% |
61787
734.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8528
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
98790
761.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
164349
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24567
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
234381
301.3 IPS |
|
|
Style Transfer (Q)
|
96% |
319291
412.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6075
224.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52767
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86634
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3297
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5585
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5674
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4588
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16804
289.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18672
322.7 IPS |
