iPad Pro 11-inch (M4)
Geekbench AI Score
4975
Single Precision Score
36416
Half Precision Score
50854
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | austinh |
| Upload Date | January 25 2026 10:06 PM |
| Views | 11 |
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% |
2131
396.3 IPS |
|
|
Image Classification (HP)
|
100% |
18376
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
23297
4.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2177
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22436
363.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
31197
505.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10035
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123756
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232253
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2463
195.3 IPS |
|
|
Object Detection (HP)
|
100% |
17388
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25829
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4287
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
42710
507.5 IPS |
|
|
Face Detection (Q)
|
100% |
62944
747.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8576
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98963
762.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
160790
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24390
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
233142
299.7 IPS |
|
|
Style Transfer (Q)
|
96% |
319336
412.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6081
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50664
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81392
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3242
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5614
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5560
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4585
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16498
284.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18143
313.5 IPS |
