iPad Pro 13-inch (M4)
Geekbench AI Score
4954
Single Precision Score
8052
Half Precision Score
6423
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 11:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2100
390.6 IPS |
|
|
Image Classification (HP)
|
100% |
3396
631.6 IPS |
|
|
Image Classification (Q)
|
96% |
2331
435.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3155
51.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3505
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10091
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19491
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16661
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.1 IPS |
|
|
Object Detection (HP)
|
97% |
3831
305.0 IPS |
|
|
Object Detection (Q)
|
94% |
2705
215.6 IPS |
|
|
Face Detection (SP)
|
100% |
4236
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
7624
90.6 IPS |
|
|
Face Detection (Q)
|
100% |
4390
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8520
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14051
108.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9865
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24250
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38700
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31770
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6112
225.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7205
266.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5031
185.8 IPS |
|
|
Text Classification (SP)
|
100% |
3260
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5980
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5803
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4635
79.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8022
138.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8084
139.7 IPS |
