iPad Pro 11-inch (M4)
Geekbench AI Score
4977
Single Precision Score
36443
Half Precision Score
51170
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 07 2026 04:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2111
392.5 IPS |
|
|
Image Classification (HP)
|
100% |
16824
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
23520
4.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22375
362.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30846
500.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10043
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122637
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232886
273.0 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
100% |
17873
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25949
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4302
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
43327
514.8 IPS |
|
|
Face Detection (Q)
|
100% |
62740
745.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8585
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98893
761.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
162705
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24404
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232132
298.4 IPS |
|
|
Style Transfer (Q)
|
96% |
319917
412.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6071
224.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51500
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83431
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3344
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5931
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5677
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4574
78.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16487
284.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18148
313.6 IPS |
