iPhone 13 Pro Max
Geekbench AI Score
3264
Single Precision Score
5675
Half Precision Score
4597
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Tom34772 |
| Upload Date | September 06 2024 12:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1345
250.1 IPS |
|
|
Image Classification (HP)
|
100% |
2359
438.7 IPS |
|
|
Image Classification (Q)
|
96% |
1620
302.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2006
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2481
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6283
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
13997
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12069
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1453
115.3 IPS |
|
|
Object Detection (HP)
|
97% |
2734
217.7 IPS |
|
|
Object Detection (Q)
|
94% |
1939
154.5 IPS |
|
|
Face Detection (SP)
|
100% |
2694
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
5665
67.3 IPS |
|
|
Face Detection (Q)
|
100% |
3231
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5517
42.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11167
86.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7601
59.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17524
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26884
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22449
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3918
144.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4717
174.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3490
128.9 IPS |
|
|
Text Classification (SP)
|
100% |
2459
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4197
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4117
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3422
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5688
98.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5666
97.9 IPS |
