iPhone 13 Pro Max
Geekbench AI Score
3128
Single Precision Score
5791
Half Precision Score
4714
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 06:31 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% |
1259
234.1 IPS |
|
|
Image Classification (HP)
|
100% |
2430
451.8 IPS |
|
|
Image Classification (Q)
|
96% |
1683
314.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1286
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2003
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2445
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5789
6.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
14117
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11898
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1315
104.3 IPS |
|
|
Object Detection (HP)
|
97% |
2708
215.5 IPS |
|
|
Object Detection (Q)
|
94% |
1960
156.2 IPS |
|
|
Face Detection (SP)
|
100% |
2603
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
5610
66.7 IPS |
|
|
Face Detection (Q)
|
100% |
3152
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5210
40.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10610
82.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7441
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16457
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27449
35.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22822
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3601
133.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4776
176.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3677
135.8 IPS |
|
|
Text Classification (SP)
|
100% |
2619
3.50 KIPS |
|
|
Text Classification (HP)
|
99% |
4327
5.78 KIPS |
|
|
Text Classification (Q)
|
93% |
4279
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3459
59.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6756
116.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6712
116.0 IPS |
