iPad Pro 13-inch (M4)
Geekbench AI Score
9296
Single Precision Score
10861
Half Precision Score
10387
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | April 10 2025 06:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
4573
850.4 IPS |
|
|
Image Classification (HP)
|
100% |
4942
919.1 IPS |
|
|
Image Classification (Q)
|
96% |
4519
843.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7128
115.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8000
129.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7622
123.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27635
32.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
29857
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
29154
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
4544
360.5 IPS |
|
|
Object Detection (HP)
|
100% |
5192
411.8 IPS |
|
|
Object Detection (Q)
|
92% |
4767
380.5 IPS |
|
|
Face Detection (SP)
|
100% |
12776
151.8 IPS |
|
|
Face Detection (HP)
|
100% |
16600
197.2 IPS |
|
|
Face Detection (Q)
|
100% |
13371
158.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20444
157.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22484
173.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
20856
163.1 IPS |
|
|
Style Transfer (SP)
|
100% |
56138
72.2 IPS |
|
|
Style Transfer (HP)
|
100% |
66549
85.6 IPS |
|
|
Style Transfer (Q)
|
96% |
64445
83.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11830
436.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12676
468.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11035
407.5 IPS |
|
|
Text Classification (SP)
|
100% |
2913
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5671
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5483
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2330
40.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2088
36.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2810
48.6 IPS |
