iPhone 13 Pro Max
Geekbench AI Score
2980
Single Precision Score
4481
Half Precision Score
3873
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | September 14 2024 07:00 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1415
263.2 IPS |
|
|
Image Classification (HP)
|
100% |
1784
331.7 IPS |
|
|
Image Classification (Q)
|
96% |
1353
252.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1148
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1129
18.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1670
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5805
6.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
13668
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11717
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1465
116.2 IPS |
|
|
Object Detection (HP)
|
97% |
2121
168.9 IPS |
|
|
Object Detection (Q)
|
94% |
1630
130.0 IPS |
|
|
Face Detection (SP)
|
100% |
2390
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
3951
46.9 IPS |
|
|
Face Detection (Q)
|
100% |
2602
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4961
38.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
8034
62.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6118
47.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16399
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25478
32.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21323
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3539
130.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4686
173.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3497
129.1 IPS |
|
|
Text Classification (SP)
|
100% |
2365
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (Q)
|
93% |
3392
4.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2464
42.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4362
75.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4381
75.7 IPS |
