iPad Pro 13-inch (M4)
Geekbench AI Score
4806
Single Precision Score
7881
Half Precision Score
6312
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | petergraening |
| Upload Date | July 07 2025 07:10 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2062
383.5 IPS |
|
|
Image Classification (HP)
|
100% |
3346
622.2 IPS |
|
|
Image Classification (Q)
|
96% |
2302
429.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3261
52.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3582
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9897
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19412
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16582
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2409
191.1 IPS |
|
|
Object Detection (HP)
|
97% |
3803
302.8 IPS |
|
|
Object Detection (Q)
|
94% |
2688
214.3 IPS |
|
|
Face Detection (SP)
|
100% |
4303
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
7731
91.9 IPS |
|
|
Face Detection (Q)
|
100% |
4403
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8550
65.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14470
111.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10125
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21723
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38281
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31574
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6048
223.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7195
265.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5089
187.9 IPS |
|
|
Text Classification (SP)
|
100% |
2916
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5216
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5282
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4414
76.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7147
123.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7220
124.8 IPS |
