iPad Pro 11-inch (M4)
Geekbench AI Score
8705
Single Precision Score
10526
Half Precision Score
9508
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 05:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4427
823.2 IPS |
|
|
Image Classification (HP)
|
100% |
4942
919.1 IPS |
|
|
Image Classification (Q)
|
97% |
4176
779.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4802
77.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6675
108.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7054
114.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
27671
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29655
34.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
28302
33.2 IPS |
|
|
Object Detection (SP)
|
100% |
4585
363.7 IPS |
|
|
Object Detection (HP)
|
100% |
5076
402.6 IPS |
|
|
Object Detection (Q)
|
91% |
4437
354.5 IPS |
|
|
Face Detection (SP)
|
100% |
12564
149.3 IPS |
|
|
Face Detection (HP)
|
100% |
16243
193.0 IPS |
|
|
Face Detection (Q)
|
100% |
11792
140.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20123
155.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22131
170.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
19468
152.2 IPS |
|
|
Style Transfer (SP)
|
100% |
55972
72.0 IPS |
|
|
Style Transfer (HP)
|
100% |
66415
85.4 IPS |
|
|
Style Transfer (Q)
|
96% |
62600
80.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11459
423.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12494
461.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10150
374.8 IPS |
|
|
Text Classification (SP)
|
100% |
3017
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5435
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5303
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1894
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2076
35.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2111
36.5 IPS |
