iPad Pro 11-inch (M4)
Geekbench AI Score
4824
Single Precision Score
36336
Half Precision Score
51736
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | ghostiman |
| Upload Date | July 30 2025 01:36 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2058
382.7 IPS |
|
|
Image Classification (HP)
|
100% |
16953
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
24691
4.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2183
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22128
358.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30432
493.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10042
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122877
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232350
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
2418
191.8 IPS |
|
|
Object Detection (HP)
|
100% |
18297
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25635
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4278
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
42976
510.6 IPS |
|
|
Face Detection (Q)
|
100% |
62790
746.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8600
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98716
760.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
168015
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
22000
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
231211
297.2 IPS |
|
|
Style Transfer (Q)
|
96% |
297947
384.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6057
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48892
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83443
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2905
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
6010
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
6426
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4394
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16508
284.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18215
314.8 IPS |
