iPad Pro 13-inch (M4)
Geekbench AI Score
10037
Single Precision Score
11859
Half Precision Score
10973
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 08:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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% |
4532
842.8 IPS |
|
|
Image Classification (HP)
|
100% |
5022
934.0 IPS |
|
|
Image Classification (Q)
|
96% |
4512
842.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7083
114.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7989
129.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7680
124.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27101
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30999
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30176
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4604
365.2 IPS |
|
|
Object Detection (HP)
|
100% |
5205
412.9 IPS |
|
|
Object Detection (Q)
|
92% |
4812
384.1 IPS |
|
|
Face Detection (SP)
|
100% |
12531
148.9 IPS |
|
|
Face Detection (HP)
|
100% |
16803
199.7 IPS |
|
|
Face Detection (Q)
|
100% |
13454
159.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20206
155.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22321
172.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
20436
159.6 IPS |
|
|
Style Transfer (SP)
|
100% |
56073
72.1 IPS |
|
|
Style Transfer (HP)
|
100% |
67139
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
65219
84.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11423
421.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11738
433.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10491
387.4 IPS |
|
|
Text Classification (SP)
|
100% |
3253
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5750
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5689
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4914
84.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5003
86.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4700
81.2 IPS |
