iPhone 13 Pro Max
Geekbench AI Score
3980
Single Precision Score
4486
Half Precision Score
4232
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 07:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1720
319.9 IPS |
|
|
Image Classification (HP)
|
100% |
1525
283.7 IPS |
|
|
Image Classification (Q)
|
96% |
1600
298.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2818
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2908
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2795
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11213
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12748
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12358
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1960
155.4 IPS |
|
|
Object Detection (HP)
|
100% |
1955
155.1 IPS |
|
|
Object Detection (Q)
|
92% |
1830
146.1 IPS |
|
|
Face Detection (SP)
|
100% |
4768
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
6177
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
4776
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8545
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9162
70.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8439
65.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18783
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23784
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23137
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4926
181.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5119
189.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4517
166.8 IPS |
|
|
Text Classification (SP)
|
100% |
2534
3.38 KIPS |
|
|
Text Classification (HP)
|
99% |
4041
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4054
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
982
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1067
18.4 IPS |
