iPad Pro 13-inch (M4)
Geekbench AI Score
8638
Single Precision Score
10550
Half Precision Score
9519
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | March 24 2025 11:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
4433
824.3 IPS |
|
|
Image Classification (HP)
|
100% |
4807
894.0 IPS |
|
|
Image Classification (Q)
|
97% |
4136
771.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4791
77.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6772
109.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7116
115.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27755
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29878
34.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
28460
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
4662
369.8 IPS |
|
|
Object Detection (HP)
|
100% |
5202
412.6 IPS |
|
|
Object Detection (Q)
|
91% |
4428
353.8 IPS |
|
|
Face Detection (SP)
|
100% |
12859
152.8 IPS |
|
|
Face Detection (HP)
|
100% |
16348
194.3 IPS |
|
|
Face Detection (Q)
|
100% |
11963
142.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20177
155.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22350
172.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
19284
150.7 IPS |
|
|
Style Transfer (SP)
|
100% |
56991
73.3 IPS |
|
|
Style Transfer (HP)
|
100% |
66404
85.4 IPS |
|
|
Style Transfer (Q)
|
96% |
62588
80.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11787
435.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12626
466.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10258
378.8 IPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5302
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5521
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1623
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2079
35.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2016
34.8 IPS |
