iPad Pro 13-inch (M4)
Geekbench AI Score
10011
Single Precision Score
12002
Half Precision Score
11034
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 09 2025 09:13 PM |
| Views | 4 |
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% |
4530
842.5 IPS |
|
|
Image Classification (HP)
|
100% |
5011
931.9 IPS |
|
|
Image Classification (Q)
|
96% |
4561
851.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7069
114.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7991
129.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7670
124.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
27051
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31294
36.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
30437
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
4631
367.3 IPS |
|
|
Object Detection (HP)
|
100% |
5277
418.6 IPS |
|
|
Object Detection (Q)
|
92% |
4842
386.5 IPS |
|
|
Face Detection (SP)
|
100% |
12386
147.2 IPS |
|
|
Face Detection (HP)
|
100% |
16649
197.8 IPS |
|
|
Face Detection (Q)
|
100% |
13293
157.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19976
153.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22441
172.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
20280
158.4 IPS |
|
|
Style Transfer (SP)
|
100% |
56128
72.2 IPS |
|
|
Style Transfer (HP)
|
100% |
67046
86.2 IPS |
|
|
Style Transfer (Q)
|
96% |
65297
84.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11361
419.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11751
433.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10302
380.4 IPS |
|
|
Text Classification (SP)
|
100% |
3257
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6437
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5457
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4906
84.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4950
85.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5247
90.7 IPS |
