iPad Pro 13-inch (M4)
Geekbench AI Score
10080
Single Precision Score
11982
Half Precision Score
11106
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 01:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 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% |
4550
846.2 IPS |
|
|
Image Classification (HP)
|
100% |
4995
928.8 IPS |
|
|
Image Classification (Q)
|
96% |
4433
827.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7074
114.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7968
129.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7706
124.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27048
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30988
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30143
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4603
365.1 IPS |
|
|
Object Detection (HP)
|
100% |
5196
412.2 IPS |
|
|
Object Detection (Q)
|
92% |
4803
383.4 IPS |
|
|
Face Detection (SP)
|
100% |
12617
149.9 IPS |
|
|
Face Detection (HP)
|
100% |
16781
199.4 IPS |
|
|
Face Detection (Q)
|
100% |
13431
159.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20085
154.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22277
171.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
20428
159.6 IPS |
|
|
Style Transfer (SP)
|
100% |
56186
72.2 IPS |
|
|
Style Transfer (HP)
|
100% |
67431
86.7 IPS |
|
|
Style Transfer (Q)
|
96% |
65480
84.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11558
426.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12011
443.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10561
390.0 IPS |
|
|
Text Classification (SP)
|
100% |
3302
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5756
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5834
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4976
85.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5464
94.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5216
90.1 IPS |
