iPad Pro 11-inch (M4)
Geekbench AI Score
4836
Single Precision Score
37563
Half Precision Score
53915
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | dgbrownnt |
| Upload Date | August 25 2025 06:04 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2059
382.9 IPS |
|
|
Image Classification (HP)
|
100% |
18400
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
28543
5.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2218
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22251
360.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30639
496.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9945
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122992
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
231575
271.4 IPS |
|
|
Object Detection (SP)
|
100% |
2408
191.0 IPS |
|
|
Object Detection (HP)
|
100% |
18795
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26569
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4255
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
43026
511.2 IPS |
|
|
Face Detection (Q)
|
100% |
63346
752.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8589
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99887
769.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
168548
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21839
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
235828
303.2 IPS |
|
|
Style Transfer (Q)
|
96% |
298422
385.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6065
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49514
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
90947
3.36 KIPS |
|
|
Text Classification (SP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
6840
9.13 KIPS |
|
|
Text Classification (Q)
|
93% |
7036
9.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4455
76.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17216
296.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18921
327.0 IPS |
