iPhone 13 Pro Max
Geekbench AI Score
3126
Single Precision Score
5795
Half Precision Score
4616
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 05:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1264
235.1 IPS |
|
|
Image Classification (HP)
|
100% |
2419
449.9 IPS |
|
|
Image Classification (Q)
|
96% |
1673
312.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1273
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2017
32.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2102
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5608
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
14205
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12042
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1321
104.8 IPS |
|
|
Object Detection (HP)
|
97% |
2720
216.5 IPS |
|
|
Object Detection (Q)
|
94% |
1928
153.7 IPS |
|
|
Face Detection (SP)
|
100% |
2602
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
5563
66.1 IPS |
|
|
Face Detection (Q)
|
100% |
3165
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5242
40.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10523
81.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7483
58.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17102
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27503
35.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22164
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3620
133.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5054
186.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3660
135.1 IPS |
|
|
Text Classification (SP)
|
100% |
2606
3.48 KIPS |
|
|
Text Classification (HP)
|
99% |
4245
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4206
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3407
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6562
113.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6665
115.2 IPS |
