iPad Pro 11-inch (M4)
Geekbench AI Score
8755
Single Precision Score
10257
Half Precision Score
9523
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | austinh |
| Upload Date | December 12 2024 04:48 AM |
| Views | 17 |
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 | iPad16,3 |
| 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% |
4404
819.0 IPS |
|
|
Image Classification (HP)
|
100% |
4754
884.0 IPS |
|
|
Image Classification (Q)
|
97% |
4088
762.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4798
77.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6662
108.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7122
115.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27876
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
29975
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
28576
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4638
367.9 IPS |
|
|
Object Detection (HP)
|
100% |
5189
411.6 IPS |
|
|
Object Detection (Q)
|
91% |
4404
351.9 IPS |
|
|
Face Detection (SP)
|
100% |
12748
151.5 IPS |
|
|
Face Detection (HP)
|
100% |
16350
194.3 IPS |
|
|
Face Detection (Q)
|
100% |
11976
142.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20247
156.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22283
171.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
19270
150.6 IPS |
|
|
Style Transfer (SP)
|
100% |
54950
70.6 IPS |
|
|
Style Transfer (HP)
|
100% |
66954
86.1 IPS |
|
|
Style Transfer (Q)
|
96% |
62751
81.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11599
428.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12569
464.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10285
379.8 IPS |
|
|
Text Classification (SP)
|
100% |
2995
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5252
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5403
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1967
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1626
28.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2081
36.0 IPS |
