iPad Pro 13-inch (M4)
Geekbench AI Score
10094
Single Precision Score
12038
Half Precision Score
11136
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 12 2025 11:50 AM |
| 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 | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4514
839.4 IPS |
|
|
Image Classification (HP)
|
100% |
5005
930.7 IPS |
|
|
Image Classification (Q)
|
96% |
4440
829.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7101
115.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7969
129.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7675
124.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27252
31.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30999
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30181
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4572
362.7 IPS |
|
|
Object Detection (HP)
|
100% |
5296
420.0 IPS |
|
|
Object Detection (Q)
|
92% |
4869
388.7 IPS |
|
|
Face Detection (SP)
|
100% |
12765
151.7 IPS |
|
|
Face Detection (HP)
|
100% |
16782
199.4 IPS |
|
|
Face Detection (Q)
|
100% |
13605
161.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20287
156.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22595
174.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
20630
161.1 IPS |
|
|
Style Transfer (SP)
|
100% |
56282
72.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67429
86.7 IPS |
|
|
Style Transfer (Q)
|
96% |
65434
84.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11466
423.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12612
465.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10481
387.0 IPS |
|
|
Text Classification (SP)
|
100% |
3355
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
5844
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5790
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4908
84.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5183
89.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5258
90.9 IPS |
