iPad Pro 11-inch (M4)
Geekbench AI Score
4958
Single Precision Score
8094
Half Precision Score
6435
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | austinh |
| Upload Date | January 25 2026 10:11 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2135
397.0 IPS |
|
|
Image Classification (HP)
|
100% |
3410
634.2 IPS |
|
|
Image Classification (Q)
|
96% |
2351
439.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3217
52.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3551
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10051
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19531
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16614
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2436
193.2 IPS |
|
|
Object Detection (HP)
|
97% |
3821
304.2 IPS |
|
|
Object Detection (Q)
|
94% |
2716
216.5 IPS |
|
|
Face Detection (SP)
|
100% |
4290
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7714
91.7 IPS |
|
|
Face Detection (Q)
|
100% |
4458
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8545
65.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14119
109.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9948
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24371
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38596
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31683
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6021
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7183
265.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5001
184.7 IPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5979
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5735
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4603
79.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8174
141.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8021
138.6 IPS |
