iPhone 13 Pro Max
Geekbench AI Score
3229
Single Precision Score
5678
Half Precision Score
4571
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MickaEricLBui |
| Upload Date | December 12 2024 11:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1334
248.1 IPS |
|
|
Image Classification (HP)
|
100% |
2361
439.1 IPS |
|
|
Image Classification (Q)
|
96% |
1622
303.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1278
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2002
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2443
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6105
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
13577
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11540
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1416
112.3 IPS |
|
|
Object Detection (HP)
|
97% |
2717
216.3 IPS |
|
|
Object Detection (Q)
|
94% |
1940
154.7 IPS |
|
|
Face Detection (SP)
|
100% |
2653
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
5634
66.9 IPS |
|
|
Face Detection (Q)
|
100% |
3172
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5358
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11080
85.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7609
59.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17525
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27150
34.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22275
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3937
145.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4828
178.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3495
129.1 IPS |
|
|
Text Classification (SP)
|
100% |
2465
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4194
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4179
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3466
59.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5831
100.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5722
98.9 IPS |
