iPhone 13 Pro Max
Geekbench AI Score
3174
Single Precision Score
19438
Half Precision Score
21834
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 01 2026 12:55 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1263
234.9 IPS |
|
|
Image Classification (HP)
|
100% |
7854
1.46 KIPS |
|
|
Image Classification (Q)
|
96% |
11380
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1274
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13055
211.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
13945
226.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6143
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
84093
98.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
81868
96.0 IPS |
|
|
Object Detection (SP)
|
100% |
1365
108.3 IPS |
|
|
Object Detection (HP)
|
99% |
10534
838.0 IPS |
|
|
Object Detection (Q)
|
91% |
11166
892.2 IPS |
|
|
Face Detection (SP)
|
100% |
2622
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
24627
292.6 IPS |
|
|
Face Detection (Q)
|
100% |
32997
392.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5196
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
55873
430.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
75686
591.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17477
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
142948
183.8 IPS |
|
|
Style Transfer (Q)
|
96% |
142936
184.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3647
134.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29461
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28129
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2579
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
2359
3.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2411
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3440
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6205
106.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7013
121.2 IPS |
