iPad Pro 13-inch (M4)
Geekbench AI Score
9694
Single Precision Score
11397
Half Precision Score
3687
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Vinski |
| Upload Date | February 22 2025 09:04 PM |
| Views | 3 |
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 | iPad16,5 |
| Motherboard | J720AP |
| 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% |
4423
822.5 IPS |
|
|
Image Classification (HP)
|
100% |
4832
898.6 IPS |
|
|
Image Classification (Q)
|
97% |
4205
784.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7144
115.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7933
128.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7192
116.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27682
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29812
34.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
28234
33.1 IPS |
|
|
Object Detection (SP)
|
100% |
4582
363.4 IPS |
|
|
Object Detection (HP)
|
100% |
5213
413.5 IPS |
|
|
Object Detection (Q)
|
92% |
4403
351.4 IPS |
|
|
Face Detection (SP)
|
100% |
12801
152.1 IPS |
|
|
Face Detection (HP)
|
100% |
16655
197.9 IPS |
|
|
Face Detection (Q)
|
100% |
12142
144.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20412
157.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22546
173.7 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
149.7 IPS |
|
|
Style Transfer (SP)
|
100% |
56974
73.2 IPS |
|
|
Style Transfer (HP)
|
100% |
66811
85.9 IPS |
|
|
Style Transfer (Q)
|
96% |
62803
81.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11521
425.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12662
467.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10312
380.8 IPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5518
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5597
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3649
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3544
61.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2810
48.6 IPS |
