iPad Pro 11-inch (M4)
Geekbench AI Score
4978
Single Precision Score
36181
Half Precision Score
51841
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 13 2025 07:43 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2114
393.1 IPS |
|
|
Image Classification (HP)
|
100% |
16968
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
25350
4.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2207
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22403
363.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30916
501.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10050
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122611
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232132
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2452
194.5 IPS |
|
|
Object Detection (HP)
|
100% |
17876
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26323
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4301
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
42718
507.6 IPS |
|
|
Face Detection (Q)
|
100% |
61743
733.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8524
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
98824
761.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
163679
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24286
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
232855
299.3 IPS |
|
|
Style Transfer (Q)
|
96% |
321345
414.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5982
220.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50885
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
90276
3.33 KIPS |
|
|
Text Classification (SP)
|
100% |
3335
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
5579
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5500
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4582
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16537
284.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18157
313.8 IPS |
