iPad Pro 11-inch (M4)
Geekbench AI Score
4738
Single Precision Score
36764
Half Precision Score
52054
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 31 2025 12:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
2021
375.8 IPS |
|
|
Image Classification (HP)
|
100% |
17656
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
24756
4.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22149
359.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30263
490.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10058
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123289
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
232488
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2274
180.4 IPS |
|
|
Object Detection (HP)
|
100% |
18580
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
25703
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4043
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
42087
500.1 IPS |
|
|
Face Detection (Q)
|
100% |
62450
742.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8355
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99162
764.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
168598
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25175
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
236562
304.1 IPS |
|
|
Style Transfer (Q)
|
96% |
298078
384.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5828
215.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49202
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85086
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2940
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6353
8.48 KIPS |
|
|
Text Classification (Q)
|
93% |
6637
8.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3943
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16317
281.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18409
318.1 IPS |
