iPad Pro 13-inch (M4)
Geekbench AI Score
4923
Single Precision Score
7983
Half Precision Score
6348
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 02 2025 06:02 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
2104
391.3 IPS |
|
|
Image Classification (HP)
|
100% |
3378
628.2 IPS |
|
|
Image Classification (Q)
|
96% |
2321
433.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3170
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3497
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10082
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19461
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16599
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2437
193.3 IPS |
|
|
Object Detection (HP)
|
97% |
3812
303.5 IPS |
|
|
Object Detection (Q)
|
94% |
2678
213.4 IPS |
|
|
Face Detection (SP)
|
100% |
4261
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
7650
90.9 IPS |
|
|
Face Detection (Q)
|
100% |
4377
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8511
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14011
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9819
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24094
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39436
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32144
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6023
222.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7219
266.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5020
185.3 IPS |
|
|
Text Classification (SP)
|
100% |
3145
4.20 KIPS |
|
|
Text Classification (HP)
|
99% |
5449
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5340
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4573
78.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7966
137.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7963
137.6 IPS |
