iPad Pro 13-inch (M4)
Geekbench AI Score
4696
Single Precision Score
7804
Half Precision Score
6253
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | tanousjm |
| Upload Date | April 03 2025 02:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
2004
372.7 IPS |
|
|
Image Classification (HP)
|
100% |
3327
618.7 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3299
53.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3633
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10014
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19089
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16429
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2243
177.9 IPS |
|
|
Object Detection (HP)
|
97% |
3821
304.2 IPS |
|
|
Object Detection (Q)
|
94% |
2694
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
3935
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
7686
91.3 IPS |
|
|
Face Detection (Q)
|
100% |
4465
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8266
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14662
113.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10167
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25226
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38208
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31547
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5821
214.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6824
252.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4824
178.1 IPS |
|
|
Text Classification (SP)
|
100% |
2955
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5205
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5153
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3885
66.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6850
118.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6868
118.7 IPS |
