iPad Pro 11-inch (M4)
Geekbench AI Score
4943
Single Precision Score
37249
Half Precision Score
52373
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | existential |
| Upload Date | September 20 2025 05:13 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2052
381.6 IPS |
|
|
Image Classification (HP)
|
100% |
18859
3.51 KIPS |
|
|
Image Classification (Q)
|
97% |
25430
4.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22626
366.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31382
508.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9929
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123550
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232967
273.1 IPS |
|
|
Object Detection (SP)
|
100% |
2432
192.9 IPS |
|
|
Object Detection (HP)
|
100% |
19323
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
27112
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
4288
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
43866
521.2 IPS |
|
|
Face Detection (Q)
|
100% |
63547
755.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8531
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
100768
776.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
166272
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24594
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233444
300.1 IPS |
|
|
Style Transfer (Q)
|
96% |
320616
413.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6067
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51252
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84919
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3306
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5612
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5784
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4580
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17010
293.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18515
320.0 IPS |
