iPad Pro 13-inch (M4)
Geekbench AI Score
9834
Single Precision Score
11751
Half Precision Score
10961
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 03:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4509
838.4 IPS |
|
|
Image Classification (HP)
|
100% |
4978
925.7 IPS |
|
|
Image Classification (Q)
|
96% |
4406
822.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7038
114.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7972
129.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7626
123.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
26836
31.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
31033
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30125
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4558
361.6 IPS |
|
|
Object Detection (HP)
|
100% |
5104
404.8 IPS |
|
|
Object Detection (Q)
|
92% |
4741
378.4 IPS |
|
|
Face Detection (SP)
|
100% |
12496
148.5 IPS |
|
|
Face Detection (HP)
|
100% |
16578
197.0 IPS |
|
|
Face Detection (Q)
|
100% |
13347
158.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19846
152.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
21928
168.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
20216
157.9 IPS |
|
|
Style Transfer (SP)
|
100% |
55408
71.2 IPS |
|
|
Style Transfer (HP)
|
100% |
66873
86.0 IPS |
|
|
Style Transfer (Q)
|
96% |
64844
83.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11293
417.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12245
452.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10860
401.0 IPS |
|
|
Text Classification (SP)
|
100% |
3303
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5936
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5907
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4253
73.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4523
77.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4651
80.4 IPS |
