iPhone 13 Pro Max
Geekbench AI Score
3768
Single Precision Score
4244
Half Precision Score
3662
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | October 14 2024 10:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1677
312.0 IPS |
|
|
Image Classification (HP)
|
100% |
1529
284.3 IPS |
|
|
Image Classification (Q)
|
97% |
1326
247.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2252
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2466
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2471
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11282
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12372
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11141
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1934
153.4 IPS |
|
|
Object Detection (HP)
|
100% |
1984
157.4 IPS |
|
|
Object Detection (Q)
|
91% |
1531
122.3 IPS |
|
|
Face Detection (SP)
|
100% |
4652
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
6177
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
4078
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8468
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8974
69.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7080
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18731
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23299
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21305
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4838
178.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4857
179.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3864
142.7 IPS |
|
|
Text Classification (SP)
|
100% |
2419
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4098
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4110
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
811
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
797
13.7 IPS |
|
|
Machine Translation (Q)
|
98% |
795
13.7 IPS |
