iPad Pro 11-inch (M4)
Geekbench AI Score
4954
Single Precision Score
8032
Half Precision Score
6404
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 03:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2088
388.3 IPS |
|
|
Image Classification (HP)
|
100% |
3388
630.1 IPS |
|
|
Image Classification (Q)
|
96% |
2309
431.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3145
51.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3502
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10062
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19512
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16659
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2441
193.7 IPS |
|
|
Object Detection (HP)
|
97% |
3840
305.7 IPS |
|
|
Object Detection (Q)
|
94% |
2695
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
4289
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7618
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
4382
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8513
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14040
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9868
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24227
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38600
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31766
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6042
223.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7202
265.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5000
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
3293
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5816
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5731
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4619
79.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8098
139.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8124
140.4 IPS |
