iPhone 15 Pro Max
Geekbench AI Score
3455
Single Precision Score
5215
Half Precision Score
4359
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | pakitt |
| Upload Date | August 16 2024 01:09 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1467
272.9 IPS |
|
|
Image Classification (HP)
|
100% |
2024
376.4 IPS |
|
|
Image Classification (Q)
|
99% |
2124
396.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1377
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1334
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6519
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
13637
15.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
11630
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1546
122.6 IPS |
|
|
Object Detection (HP)
|
97% |
2407
191.6 IPS |
|
|
Object Detection (Q)
|
94% |
1833
146.1 IPS |
|
|
Face Detection (SP)
|
100% |
2715
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
4673
55.5 IPS |
|
|
Face Detection (Q)
|
100% |
3006
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5883
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9305
71.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
4774
36.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19389
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29812
38.3 IPS |
|
|
Style Transfer (Q)
|
100% |
29421
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4452
164.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5604
206.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4218
156.3 IPS |
|
|
Text Classification (SP)
|
100% |
3161
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
5260
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5163
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2739
47.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4488
77.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4469
77.2 IPS |
