iPhone 13 Pro Max
Geekbench AI Score
4027
Single Precision Score
4549
Half Precision Score
4260
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | StevensPCService |
| Upload Date | September 16 2025 02:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1713
318.5 IPS |
|
|
Image Classification (HP)
|
100% |
1675
311.5 IPS |
|
|
Image Classification (Q)
|
96% |
1638
305.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2821
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2942
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2754
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11322
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12708
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12347
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1993
158.1 IPS |
|
|
Object Detection (HP)
|
100% |
2026
160.7 IPS |
|
|
Object Detection (Q)
|
92% |
1849
147.6 IPS |
|
|
Face Detection (SP)
|
100% |
4838
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
6325
75.2 IPS |
|
|
Face Detection (Q)
|
100% |
4928
58.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8642
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9407
72.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8564
66.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18702
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23279
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23049
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4952
182.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5156
190.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4498
166.1 IPS |
|
|
Text Classification (SP)
|
100% |
2587
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4166
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4161
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1027
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1006
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1051
18.2 IPS |
