iPad Pro 11-inch (M4)
Geekbench AI Score
4992
Single Precision Score
36453
Half Precision Score
51117
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 09:25 PM |
| Views | 1 |
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% |
2123
394.8 IPS |
|
|
Image Classification (HP)
|
100% |
16861
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
24821
4.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2194
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22393
363.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30880
500.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10100
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122650
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232871
272.9 IPS |
|
|
Object Detection (SP)
|
100% |
2473
196.2 IPS |
|
|
Object Detection (HP)
|
100% |
19362
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
25688
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4355
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
42565
505.8 IPS |
|
|
Face Detection (Q)
|
100% |
62371
741.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8617
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
98657
760.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
163006
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24447
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
233778
300.5 IPS |
|
|
Style Transfer (Q)
|
96% |
319051
411.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6102
225.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51313
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81994
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3225
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5575
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5521
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4584
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16454
283.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18094
312.7 IPS |
