iPad Pro 11-inch (M4)
Geekbench AI Score
4827
Single Precision Score
36620
Half Precision Score
52552
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | austinh |
| Upload Date | July 28 2025 07:07 PM |
| Views | 12 |
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% |
2057
382.5 IPS |
|
|
Image Classification (HP)
|
100% |
17247
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
27655
5.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2168
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22214
360.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30454
493.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10034
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122740
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232142
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2409
191.1 IPS |
|
|
Object Detection (HP)
|
100% |
18353
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26761
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4304
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
42589
506.0 IPS |
|
|
Face Detection (Q)
|
100% |
62893
747.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8573
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98763
760.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
166934
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21930
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
231108
297.1 IPS |
|
|
Style Transfer (Q)
|
96% |
298683
385.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6080
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48980
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82238
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2942
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6349
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6463
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4408
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16624
286.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18425
318.4 IPS |
