iPad Pro 13-inch (M4)
Geekbench AI Score
4717
Single Precision Score
36473
Half Precision Score
51695
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | zensage42 |
| Upload Date | December 23 2024 04:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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% |
1999
371.8 IPS |
|
|
Image Classification (HP)
|
100% |
17235
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
24412
4.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22096
358.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30121
488.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10042
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123816
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232648
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2244
178.0 IPS |
|
|
Object Detection (HP)
|
100% |
18310
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25620
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
3974
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
42108
500.3 IPS |
|
|
Face Detection (Q)
|
100% |
62627
744.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8283
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99242
764.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
171378
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25136
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233795
300.5 IPS |
|
|
Style Transfer (Q)
|
96% |
298535
385.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5875
216.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50409
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83190
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2988
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5880
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
6337
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3895
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16664
287.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18411
318.2 IPS |
