iPad Pro 13-inch (M4)
Geekbench AI Score
4776
Single Precision Score
7906
Half Precision Score
6304
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | thecalesugg |
| Upload Date | September 20 2025 12:18 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1983
368.7 IPS |
|
|
Image Classification (HP)
|
100% |
3380
628.5 IPS |
|
|
Image Classification (Q)
|
96% |
2259
421.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1982
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3169
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3449
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9508
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18737
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15904
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2263
179.5 IPS |
|
|
Object Detection (HP)
|
97% |
3555
283.1 IPS |
|
|
Object Detection (Q)
|
94% |
2517
200.6 IPS |
|
|
Face Detection (SP)
|
100% |
4083
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
7378
87.7 IPS |
|
|
Face Detection (Q)
|
100% |
4294
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8455
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13736
106.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9580
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22663
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38404
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31622
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6105
225.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7319
270.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5076
187.4 IPS |
|
|
Text Classification (SP)
|
100% |
3346
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
5783
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5909
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4569
78.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8119
140.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8158
141.0 IPS |
