iPhone 13 Pro Max
Geekbench AI Score
3124
Single Precision Score
5760
Half Precision Score
4688
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 02:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1270
236.2 IPS |
|
|
Image Classification (HP)
|
100% |
2432
452.2 IPS |
|
|
Image Classification (Q)
|
96% |
1680
313.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1257
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2457
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5857
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
14247
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11864
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1305
103.5 IPS |
|
|
Object Detection (HP)
|
97% |
2712
215.9 IPS |
|
|
Object Detection (Q)
|
94% |
1938
154.5 IPS |
|
|
Face Detection (SP)
|
100% |
2620
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
5617
66.7 IPS |
|
|
Face Detection (Q)
|
100% |
3155
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5167
39.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10594
81.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7416
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16861
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27111
34.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22431
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3608
133.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4763
175.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3672
135.6 IPS |
|
|
Text Classification (SP)
|
100% |
2578
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4299
5.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4238
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3418
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6617
114.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6617
114.3 IPS |
