iPad Pro 13-inch (M4)
Geekbench AI Score
4936
Single Precision Score
8019
Half Precision Score
6433
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 17 2025 07:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2121
394.5 IPS |
|
|
Image Classification (HP)
|
100% |
3387
629.9 IPS |
|
|
Image Classification (Q)
|
96% |
2360
440.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3194
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3542
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10041
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19474
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16664
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2447
194.1 IPS |
|
|
Object Detection (HP)
|
97% |
3791
301.8 IPS |
|
|
Object Detection (Q)
|
94% |
2722
216.9 IPS |
|
|
Face Detection (SP)
|
100% |
4293
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7737
91.9 IPS |
|
|
Face Detection (Q)
|
100% |
4442
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8552
65.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14064
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9947
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24334
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38806
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31877
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6090
224.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7220
266.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4980
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5616
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5685
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4526
78.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8050
139.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8030
138.8 IPS |
