iPad Pro 11-inch (M4)
Geekbench AI Score
4934
Single Precision Score
36374
Half Precision Score
51239
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 02:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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% |
2095
389.5 IPS |
|
|
Image Classification (HP)
|
100% |
17296
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
24187
4.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22414
363.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30845
500.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9989
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122950
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
231560
271.4 IPS |
|
|
Object Detection (SP)
|
100% |
2447
194.1 IPS |
|
|
Object Detection (HP)
|
100% |
17850
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25871
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4221
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
43361
515.2 IPS |
|
|
Face Detection (Q)
|
100% |
62391
741.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8500
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98926
762.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
164442
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24183
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
234633
301.6 IPS |
|
|
Style Transfer (Q)
|
96% |
319766
412.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6017
222.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50939
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83873
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3270
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5589
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5539
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4613
79.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16632
286.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18315
316.5 IPS |
