iPhone 13 Pro Max
Geekbench AI Score
3031
Single Precision Score
5636
Half Precision Score
4531
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | RYAN770 |
| Upload Date | October 25 2025 02:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1270
236.1 IPS |
|
|
Image Classification (HP)
|
100% |
2377
442.0 IPS |
|
|
Image Classification (Q)
|
96% |
1659
309.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1198
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1940
31.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2365
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5466
6.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
13711
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11509
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1248
99.0 IPS |
|
|
Object Detection (HP)
|
97% |
2603
207.2 IPS |
|
|
Object Detection (Q)
|
94% |
1858
148.1 IPS |
|
|
Face Detection (SP)
|
100% |
2567
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
5480
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
2905
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5009
38.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10294
79.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7127
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16261
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26428
34.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21345
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3545
130.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4798
177.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3595
132.7 IPS |
|
|
Text Classification (SP)
|
100% |
2556
3.41 KIPS |
|
|
Text Classification (HP)
|
99% |
4293
5.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4297
5.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3336
57.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6399
110.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6368
110.0 IPS |
