iPad Pro 13-inch (M4)
Geekbench AI Score
4828
Single Precision Score
36549
Half Precision Score
51902
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 10 2025 06:03 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2057
382.5 IPS |
|
|
Image Classification (HP)
|
100% |
17389
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
24661
4.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2164
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22048
357.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30116
488.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10040
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123005
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
231815
271.7 IPS |
|
|
Object Detection (SP)
|
100% |
2420
191.9 IPS |
|
|
Object Detection (HP)
|
100% |
18320
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25640
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4309
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
42439
504.3 IPS |
|
|
Face Detection (Q)
|
100% |
62829
746.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8599
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98498
758.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
171494
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21779
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
234308
301.2 IPS |
|
|
Style Transfer (Q)
|
96% |
300595
387.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6136
226.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48953
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84578
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6175
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6409
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4392
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16633
286.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18305
316.3 IPS |
