iPad Pro 13-inch (M4)
Geekbench AI Score
8707
Single Precision Score
10318
Half Precision Score
9407
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 29 2024 06:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
4390
816.5 IPS |
|
|
Image Classification (HP)
|
100% |
4774
887.9 IPS |
|
|
Image Classification (Q)
|
97% |
4106
766.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4784
77.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6696
108.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7086
114.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27681
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29865
34.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
28410
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
4625
366.9 IPS |
|
|
Object Detection (HP)
|
100% |
5197
412.2 IPS |
|
|
Object Detection (Q)
|
91% |
4415
352.8 IPS |
|
|
Face Detection (SP)
|
100% |
12496
148.5 IPS |
|
|
Face Detection (HP)
|
100% |
16253
193.1 IPS |
|
|
Face Detection (Q)
|
100% |
11945
141.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20163
155.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22089
170.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
19386
151.5 IPS |
|
|
Style Transfer (SP)
|
100% |
55183
70.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66054
84.9 IPS |
|
|
Style Transfer (Q)
|
96% |
62603
80.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11647
430.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12618
465.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10224
377.5 IPS |
|
|
Text Classification (SP)
|
100% |
2988
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5557
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
6169
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1925
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1658
28.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1627
28.1 IPS |
