iPad Pro 11-inch (M4)
Geekbench AI Score
4939
Single Precision Score
36115
Half Precision Score
51660
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 02 2025 06:52 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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2093
389.1 IPS |
|
|
Image Classification (HP)
|
100% |
16803
3.12 KIPS |
|
|
Image Classification (Q)
|
97% |
27403
5.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22435
363.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30562
495.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10060
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122942
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
231744
271.6 IPS |
|
|
Object Detection (SP)
|
100% |
2439
193.5 IPS |
|
|
Object Detection (HP)
|
100% |
17841
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25606
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4288
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
42795
508.5 IPS |
|
|
Face Detection (Q)
|
100% |
62464
742.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8513
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
98514
759.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
163156
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24463
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
233109
299.7 IPS |
|
|
Style Transfer (Q)
|
96% |
319190
411.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6079
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50774
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82480
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3240
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5537
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5623
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4552
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16525
284.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18058
312.1 IPS |
