iPad Pro 11-inch (M4)
Geekbench AI Score
4973
Single Precision Score
36408
Half Precision Score
51418
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 07 2026 03:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2107
391.9 IPS |
|
|
Image Classification (HP)
|
100% |
17109
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
23274
4.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2178
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22412
363.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30947
501.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10016
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122804
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231901
271.8 IPS |
|
|
Object Detection (SP)
|
100% |
2466
195.6 IPS |
|
|
Object Detection (HP)
|
100% |
17741
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25971
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4312
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
42735
507.8 IPS |
|
|
Face Detection (Q)
|
100% |
62619
744.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8634
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98704
760.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
165804
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24312
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234174
301.0 IPS |
|
|
Style Transfer (Q)
|
96% |
319432
412.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6064
223.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50727
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82210
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5918
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5976
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4589
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16524
284.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18275
315.8 IPS |
