iPhone 13 Pro Max
Geekbench AI Score
3957
Single Precision Score
4515
Half Precision Score
4262
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 01 2026 12:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1558
289.7 IPS |
|
|
Image Classification (HP)
|
100% |
1643
305.6 IPS |
|
|
Image Classification (Q)
|
96% |
1666
311.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2818
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2923
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2770
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11211
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12690
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12342
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1964
155.8 IPS |
|
|
Object Detection (HP)
|
100% |
1976
156.8 IPS |
|
|
Object Detection (Q)
|
92% |
1831
146.2 IPS |
|
|
Face Detection (SP)
|
100% |
4847
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
6039
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
5018
59.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8589
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9279
71.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8530
66.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18669
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23371
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23088
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4919
181.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5088
187.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4402
162.6 IPS |
|
|
Text Classification (SP)
|
100% |
2575
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4195
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4125
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
989
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1046
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1057
18.3 IPS |
