iPad Pro 13-inch (M4)
Geekbench AI Score
8815
Single Precision Score
10554
Half Precision Score
9279
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 10:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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 | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4428
823.5 IPS |
|
|
Image Classification (HP)
|
100% |
4817
895.9 IPS |
|
|
Image Classification (Q)
|
97% |
4124
769.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4867
78.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6736
109.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7166
116.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27986
32.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30073
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
28616
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4694
372.3 IPS |
|
|
Object Detection (HP)
|
100% |
5201
412.6 IPS |
|
|
Object Detection (Q)
|
91% |
4411
352.4 IPS |
|
|
Face Detection (SP)
|
100% |
12782
151.9 IPS |
|
|
Face Detection (HP)
|
100% |
16434
195.3 IPS |
|
|
Face Detection (Q)
|
100% |
11996
142.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20352
156.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22328
172.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
19274
150.7 IPS |
|
|
Style Transfer (SP)
|
100% |
56839
73.1 IPS |
|
|
Style Transfer (HP)
|
100% |
67399
86.6 IPS |
|
|
Style Transfer (Q)
|
96% |
62949
81.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11541
426.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12589
464.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10285
379.8 IPS |
|
|
Text Classification (SP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5203
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5152
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1974
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2087
36.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1645
28.4 IPS |
