iPad Pro 11-inch (M4)
Geekbench AI Score
4892
Single Precision Score
7768
Half Precision Score
6178
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 03:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2098
390.2 IPS |
|
|
Image Classification (HP)
|
100% |
3395
631.4 IPS |
|
|
Image Classification (Q)
|
96% |
2342
437.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3180
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3526
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10055
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19508
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16189
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2379
188.7 IPS |
|
|
Object Detection (HP)
|
97% |
3785
301.3 IPS |
|
|
Object Detection (Q)
|
94% |
2684
214.0 IPS |
|
|
Face Detection (SP)
|
100% |
4241
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
7657
91.0 IPS |
|
|
Face Detection (Q)
|
100% |
4385
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8488
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14007
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9184
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24423
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38592
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31434
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6027
222.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5449
201.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4142
152.9 IPS |
|
|
Text Classification (SP)
|
100% |
3127
4.17 KIPS |
|
|
Text Classification (HP)
|
99% |
5580
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5385
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4515
77.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7976
137.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7997
138.2 IPS |
