iPad Pro 13-inch (M4)
Geekbench AI Score
4843
Single Precision Score
7869
Half Precision Score
6329
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 17 2025 03:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2072
385.3 IPS |
|
|
Image Classification (HP)
|
100% |
3334
620.0 IPS |
|
|
Image Classification (Q)
|
96% |
2330
435.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2219
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3276
53.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3641
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10034
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19432
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16633
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2415
191.6 IPS |
|
|
Object Detection (HP)
|
97% |
3765
299.7 IPS |
|
|
Object Detection (Q)
|
94% |
2698
215.0 IPS |
|
|
Face Detection (SP)
|
100% |
4327
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
7698
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
4462
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8580
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14568
112.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10231
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21580
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38268
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31618
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6101
225.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7130
263.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5035
185.9 IPS |
|
|
Text Classification (SP)
|
100% |
2933
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5221
6.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5215
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4444
76.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7139
123.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7156
123.7 IPS |
