iPad Pro 11-inch (M4)
Geekbench AI Score
5013
Single Precision Score
8031
Half Precision Score
6395
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 03:14 AM |
| Views | 5 |
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 | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2085
387.7 IPS |
|
|
Image Classification (HP)
|
100% |
3414
634.9 IPS |
|
|
Image Classification (Q)
|
96% |
2311
431.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3169
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3493
56.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10077
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19488
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16639
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2437
193.3 IPS |
|
|
Object Detection (HP)
|
97% |
3820
304.1 IPS |
|
|
Object Detection (Q)
|
94% |
2692
214.6 IPS |
|
|
Face Detection (SP)
|
100% |
4238
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
7581
90.1 IPS |
|
|
Face Detection (Q)
|
100% |
4374
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8489
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14070
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9868
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24221
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38750
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31739
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6105
225.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7226
266.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5040
186.1 IPS |
|
|
Text Classification (SP)
|
100% |
3840
5.13 KIPS |
|
|
Text Classification (HP)
|
99% |
5800
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5717
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4570
78.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8008
138.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8025
138.7 IPS |
