iPad Pro 11-inch (M4)
Geekbench AI Score
8861
Single Precision Score
10670
Half Precision Score
9570
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | i0ntempest |
| Upload Date | March 14 2025 03:13 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
4456
828.6 IPS |
|
|
Image Classification (HP)
|
100% |
4838
899.7 IPS |
|
|
Image Classification (Q)
|
97% |
4116
768.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4934
80.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6781
109.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7150
115.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
28115
32.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30288
35.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
28564
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4706
373.3 IPS |
|
|
Object Detection (HP)
|
100% |
5212
413.4 IPS |
|
|
Object Detection (Q)
|
91% |
4466
356.9 IPS |
|
|
Face Detection (SP)
|
100% |
12918
153.5 IPS |
|
|
Face Detection (HP)
|
100% |
16501
196.1 IPS |
|
|
Face Detection (Q)
|
100% |
11998
142.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20313
156.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22573
173.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
19252
150.5 IPS |
|
|
Style Transfer (SP)
|
100% |
56723
72.9 IPS |
|
|
Style Transfer (HP)
|
100% |
67286
86.5 IPS |
|
|
Style Transfer (Q)
|
96% |
63212
81.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12067
445.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12861
474.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10278
379.5 IPS |
|
|
Text Classification (SP)
|
100% |
2979
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5459
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5461
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1918
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2100
36.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2095
36.2 IPS |
