iPad Pro 11-inch (M4)
Geekbench AI Score
4753
Single Precision Score
36457
Half Precision Score
48370
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 04:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2131
396.4 IPS |
|
|
Image Classification (HP)
|
100% |
17773
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
24705
4.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2163
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22364
362.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30910
501.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10023
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122800
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231174
271.0 IPS |
|
|
Object Detection (SP)
|
100% |
2425
192.4 IPS |
|
|
Object Detection (HP)
|
100% |
18154
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26198
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4226
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
42439
504.3 IPS |
|
|
Face Detection (Q)
|
100% |
62998
748.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8294
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98774
761.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
157850
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
23965
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
230550
296.4 IPS |
|
|
Style Transfer (Q)
|
96% |
320402
413.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3644
134.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51558
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84296
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3769
5.03 KIPS |
|
|
Text Classification (HP)
|
99% |
5663
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6289
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4554
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16589
285.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8976
155.1 IPS |
