iPhone 13 Pro Max
Geekbench AI Score
3286
Single Precision Score
5788
Half Precision Score
4684
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | April 07 2025 02:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
2369
440.6 IPS |
|
|
Image Classification (Q)
|
96% |
1640
306.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2014
32.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2413
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6489
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
14800
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12321
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1454
115.3 IPS |
|
|
Object Detection (HP)
|
97% |
2737
217.9 IPS |
|
|
Object Detection (Q)
|
94% |
1939
154.6 IPS |
|
|
Face Detection (SP)
|
100% |
2682
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
5646
67.1 IPS |
|
|
Face Detection (Q)
|
100% |
3202
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5377
41.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10530
81.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7348
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17830
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28226
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23196
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3883
143.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4788
176.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3658
135.1 IPS |
|
|
Text Classification (SP)
|
100% |
2460
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4252
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4219
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3625
62.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6395
110.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6392
110.5 IPS |
