iPad Pro 13-inch (M4)
Geekbench AI Score
4705
Single Precision Score
7817
Half Precision Score
6275
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | zensage42 |
| Upload Date | December 23 2024 04:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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% |
2006
373.0 IPS |
|
|
Image Classification (HP)
|
100% |
3358
624.4 IPS |
|
|
Image Classification (Q)
|
96% |
2324
433.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3309
53.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3676
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10043
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19081
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16459
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2243
177.9 IPS |
|
|
Object Detection (HP)
|
97% |
3820
304.1 IPS |
|
|
Object Detection (Q)
|
94% |
2694
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
3989
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7745
92.0 IPS |
|
|
Face Detection (Q)
|
100% |
4492
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8278
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14649
113.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10210
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25117
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38225
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31646
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5860
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6824
252.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4845
178.9 IPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5136
6.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5193
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3857
66.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6924
119.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6844
118.3 IPS |
