iPad Pro 11-inch (M4)
Geekbench AI Score
4930
Single Precision Score
36240
Half Precision Score
51173
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 10 2026 06:07 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, 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% |
16812
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
24533
4.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2084
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22232
360.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30955
501.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10050
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122575
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232558
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2419
191.9 IPS |
|
|
Object Detection (HP)
|
100% |
17729
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25540
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4280
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
42872
509.4 IPS |
|
|
Face Detection (Q)
|
100% |
62844
746.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8495
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
100514
774.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
162484
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24372
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
232992
299.5 IPS |
|
|
Style Transfer (Q)
|
96% |
320353
413.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6083
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51903
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82277
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3242
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5603
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5577
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4597
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16476
283.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18191
314.4 IPS |
