iPad Pro 13-inch (M4)
Geekbench AI Score
9565
Single Precision Score
11223
Half Precision Score
10318
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | gkoblavi |
| Upload Date | August 28 2025 11:49 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
4453
828.0 IPS |
|
|
Image Classification (HP)
|
100% |
4813
895.0 IPS |
|
|
Image Classification (Q)
|
96% |
4539
847.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7175
116.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7924
128.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7614
123.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27756
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29718
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29420
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4560
361.7 IPS |
|
|
Object Detection (HP)
|
100% |
5162
409.4 IPS |
|
|
Object Detection (Q)
|
92% |
4763
380.2 IPS |
|
|
Face Detection (SP)
|
100% |
12786
151.9 IPS |
|
|
Face Detection (HP)
|
100% |
16607
197.3 IPS |
|
|
Face Detection (Q)
|
100% |
13382
159.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20535
158.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21949
169.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
20202
157.8 IPS |
|
|
Style Transfer (SP)
|
100% |
57155
73.5 IPS |
|
|
Style Transfer (HP)
|
100% |
66264
85.2 IPS |
|
|
Style Transfer (Q)
|
96% |
64542
83.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11546
426.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11474
423.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10294
380.1 IPS |
|
|
Text Classification (SP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5539
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5608
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3101
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3533
60.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2806
48.5 IPS |
