iPhone 13 Pro Max
Geekbench AI Score
3298
Single Precision Score
5780
Half Precision Score
4695
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | June 24 2025 11:50 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1351
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
2416
449.3 IPS |
|
|
Image Classification (Q)
|
96% |
1671
312.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1332
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2041
33.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2463
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6536
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
14772
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12256
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1469
116.5 IPS |
|
|
Object Detection (HP)
|
97% |
2744
218.5 IPS |
|
|
Object Detection (Q)
|
94% |
1970
157.0 IPS |
|
|
Face Detection (SP)
|
100% |
2682
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
5735
68.1 IPS |
|
|
Face Detection (Q)
|
100% |
3232
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5456
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10590
81.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7481
58.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17801
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28221
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23366
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3851
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4791
176.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3686
136.1 IPS |
|
|
Text Classification (SP)
|
100% |
2404
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
3849
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3813
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3658
63.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6592
113.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6597
114.0 IPS |
