iPad Pro 11-inch (M4)
Geekbench AI Score
4972
Single Precision Score
36240
Half Precision Score
50982
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Esq255 |
| Upload Date | August 16 2025 06:31 AM |
| Views | 10 |
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 | iPad16,3 |
| 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% |
2115
393.4 IPS |
|
|
Image Classification (HP)
|
100% |
17220
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
23870
4.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22446
363.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30781
499.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10107
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122727
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232060
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2443
193.8 IPS |
|
|
Object Detection (HP)
|
100% |
17386
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25706
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4285
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
42686
507.2 IPS |
|
|
Face Detection (Q)
|
100% |
61587
731.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8554
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99231
764.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
166554
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24615
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
235014
302.1 IPS |
|
|
Style Transfer (Q)
|
96% |
321574
415.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6042
223.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50522
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81368
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3278
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5604
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5524
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4597
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16814
289.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18256
315.5 IPS |
