iPad Pro 11-inch (M4)
Geekbench AI Score
4970
Single Precision Score
8068
Half Precision Score
6444
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Fritzt |
| Upload Date | February 12 2026 03:43 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2134
396.9 IPS |
|
|
Image Classification (HP)
|
100% |
3391
630.7 IPS |
|
|
Image Classification (Q)
|
96% |
2369
442.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2182
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3251
52.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3564
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10033
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19495
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16636
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
97% |
3791
301.8 IPS |
|
|
Object Detection (Q)
|
94% |
2694
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
4281
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
7720
91.7 IPS |
|
|
Face Detection (Q)
|
100% |
4431
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8533
65.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14054
108.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9926
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24384
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38693
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31773
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6068
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7160
264.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4988
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5904
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5753
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4589
79.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8084
139.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8144
140.7 IPS |
