iPad Pro 11-inch (M4)
Geekbench AI Score
4980
Single Precision Score
36383
Half Precision Score
51155
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 07 2026 04:02 PM |
| Views | 1 |
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% |
2106
391.7 IPS |
|
|
Image Classification (HP)
|
100% |
17032
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
22939
4.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2181
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22408
363.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30868
500.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10043
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122939
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232398
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2454
194.6 IPS |
|
|
Object Detection (HP)
|
100% |
17648
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
26067
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4295
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
42787
508.4 IPS |
|
|
Face Detection (Q)
|
100% |
63213
751.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8588
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98702
760.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
162507
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24354
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234365
301.3 IPS |
|
|
Style Transfer (Q)
|
96% |
321712
415.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6083
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50883
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82462
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3331
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
5902
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5781
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4558
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16514
284.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18160
313.8 IPS |
