iPad Pro 13-inch (M4)
Geekbench AI Score
4714
Single Precision Score
36131
Half Precision Score
51187
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | aIpaca |
| Upload Date | February 11 2025 06:55 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2021
375.8 IPS |
|
|
Image Classification (HP)
|
100% |
17310
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
24388
4.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22043
357.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30516
494.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10085
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123419
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232375
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2253
178.7 IPS |
|
|
Object Detection (HP)
|
100% |
18144
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25928
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4001
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
42163
501.0 IPS |
|
|
Face Detection (Q)
|
100% |
62678
744.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8292
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98513
759.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
166766
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
25101
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233435
300.1 IPS |
|
|
Style Transfer (Q)
|
96% |
298386
385.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5808
214.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48227
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83412
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5825
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5938
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3903
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16294
280.7 IPS |
|
|
Machine Translation (Q)
|
98% |
17827
308.1 IPS |
