iPad Pro 13-inch (M4)
Geekbench AI Score
9641
Single Precision Score
11426
Half Precision Score
10047
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 07:41 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
4411
820.3 IPS |
|
|
Image Classification (HP)
|
100% |
4786
890.0 IPS |
|
|
Image Classification (Q)
|
96% |
4511
842.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7092
115.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7907
128.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7587
123.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27530
32.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
29754
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29442
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4564
362.0 IPS |
|
|
Object Detection (HP)
|
100% |
5149
408.4 IPS |
|
|
Object Detection (Q)
|
92% |
4761
380.1 IPS |
|
|
Face Detection (SP)
|
100% |
12534
148.9 IPS |
|
|
Face Detection (HP)
|
100% |
16492
196.0 IPS |
|
|
Face Detection (Q)
|
100% |
13322
158.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20584
158.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
21916
168.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
20427
159.6 IPS |
|
|
Style Transfer (SP)
|
100% |
56031
72.0 IPS |
|
|
Style Transfer (HP)
|
100% |
65782
84.6 IPS |
|
|
Style Transfer (Q)
|
96% |
64016
82.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11715
432.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11606
428.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10309
380.7 IPS |
|
|
Text Classification (SP)
|
100% |
2922
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5452
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5391
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3570
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4352
75.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2258
39.0 IPS |
