iPad Pro 11-inch (M4)
Geekbench AI Score
4826
Single Precision Score
37088
Half Precision Score
52850
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | notakaos |
| Upload Date | April 18 2025 12:14 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2055
382.2 IPS |
|
|
Image Classification (HP)
|
100% |
18279
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
28461
5.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22151
359.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30501
494.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10019
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123072
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
231146
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2417
191.7 IPS |
|
|
Object Detection (HP)
|
100% |
19196
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
26841
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4268
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
42643
506.7 IPS |
|
|
Face Detection (Q)
|
100% |
63704
756.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8635
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99823
769.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
171177
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21714
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
231723
297.9 IPS |
|
|
Style Transfer (Q)
|
96% |
297108
383.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6081
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49311
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83162
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2962
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6383
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6470
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4431
76.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16581
285.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18107
312.9 IPS |
