iPhone 13 Pro Max
Geekbench AI Score
3142
Single Precision Score
5761
Half Precision Score
4700
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 09:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1251
232.6 IPS |
|
|
Image Classification (HP)
|
100% |
2405
447.2 IPS |
|
|
Image Classification (Q)
|
96% |
1670
311.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2428
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6038
7.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
14709
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12333
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1330
105.5 IPS |
|
|
Object Detection (HP)
|
97% |
2744
218.5 IPS |
|
|
Object Detection (Q)
|
94% |
1972
157.2 IPS |
|
|
Face Detection (SP)
|
100% |
2608
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
5676
67.4 IPS |
|
|
Face Detection (Q)
|
100% |
3221
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5171
39.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10595
81.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7454
58.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17073
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27318
35.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22474
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3622
133.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4772
176.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3685
136.1 IPS |
|
|
Text Classification (SP)
|
100% |
2580
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4177
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4084
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3483
60.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6501
112.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6574
113.6 IPS |
