iPad Pro 11-inch (M4)
Geekbench AI Score
4821
Single Precision Score
36576
Half Precision Score
52048
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | pom8646 |
| Upload Date | April 20 2025 03:22 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2069
384.8 IPS |
|
|
Image Classification (HP)
|
100% |
16855
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
25350
4.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2192
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22136
358.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30604
496.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9991
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123290
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231354
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2408
191.0 IPS |
|
|
Object Detection (HP)
|
100% |
18363
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25688
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4288
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
42564
505.8 IPS |
|
|
Face Detection (Q)
|
100% |
63149
750.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8604
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98967
762.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
170030
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21553
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232600
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
297801
384.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6080
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51265
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87927
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
2921
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6185
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6265
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4406
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16333
281.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17967
310.5 IPS |
