iPhone 13 Pro Max
Geekbench AI Score
4037
Single Precision Score
4528
Half Precision Score
4259
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | RYAN770 |
| Upload Date | October 25 2025 02:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1664
309.5 IPS |
|
|
Image Classification (HP)
|
100% |
1621
301.5 IPS |
|
|
Image Classification (Q)
|
96% |
1622
302.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2826
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2931
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2779
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11297
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12734
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12412
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1968
156.1 IPS |
|
|
Object Detection (HP)
|
100% |
2049
162.5 IPS |
|
|
Object Detection (Q)
|
92% |
1848
147.5 IPS |
|
|
Face Detection (SP)
|
100% |
5009
59.5 IPS |
|
|
Face Detection (HP)
|
100% |
6029
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
4903
58.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8548
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9250
71.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
8476
66.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18774
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23265
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23046
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4916
181.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5110
188.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4503
166.3 IPS |
|
|
Text Classification (SP)
|
100% |
2544
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
4203
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4202
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1050
18.1 IPS |
