iPad Pro 11-inch (M4)
Geekbench AI Score
4931
Single Precision Score
36256
Half Precision Score
51898
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 09:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2066
384.3 IPS |
|
|
Image Classification (HP)
|
100% |
17153
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
25389
4.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22365
362.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30871
500.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10020
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122777
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231483
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2420
192.0 IPS |
|
|
Object Detection (HP)
|
100% |
17749
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
26740
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4242
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
42634
506.6 IPS |
|
|
Face Detection (Q)
|
100% |
62772
745.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8502
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98718
760.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
163690
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24271
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233592
300.3 IPS |
|
|
Style Transfer (Q)
|
96% |
320027
413.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6029
222.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50850
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87130
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3300
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5645
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5585
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4596
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16639
286.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18260
315.6 IPS |
