iPad Pro 13-inch (M4)
Geekbench AI Score
4953
Single Precision Score
8049
Half Precision Score
6410
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 09:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2096
389.9 IPS |
|
|
Image Classification (HP)
|
100% |
3367
626.2 IPS |
|
|
Image Classification (Q)
|
96% |
2344
437.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3243
52.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3535
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10043
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19453
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16636
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2435
193.2 IPS |
|
|
Object Detection (HP)
|
97% |
3846
306.2 IPS |
|
|
Object Detection (Q)
|
94% |
2691
214.5 IPS |
|
|
Face Detection (SP)
|
100% |
4261
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
7702
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
4407
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8507
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14073
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9880
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24528
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38676
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31735
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6083
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7184
265.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4985
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
3266
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5788
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5710
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4588
79.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8020
138.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8031
138.8 IPS |
