iPhone 15 Pro Max
Geekbench AI Score
3612
Single Precision Score
5387
Half Precision Score
4474
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | gundar |
| Upload Date | August 15 2024 08:59 PM |
| Views | 4 |
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% |
1685
313.4 IPS |
|
|
Image Classification (HP)
|
100% |
2193
407.9 IPS |
|
|
Image Classification (Q)
|
99% |
2185
407.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1396
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
1327
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7294
8.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
14955
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
13324
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1700
134.8 IPS |
|
|
Object Detection (HP)
|
97% |
2536
201.9 IPS |
|
|
Object Detection (Q)
|
94% |
1963
156.5 IPS |
|
|
Face Detection (SP)
|
100% |
2744
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
4802
57.1 IPS |
|
|
Face Detection (Q)
|
100% |
3068
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6017
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9396
72.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
4786
37.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19358
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29674
38.1 IPS |
|
|
Style Transfer (Q)
|
100% |
29502
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4479
165.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5689
210.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4270
158.2 IPS |
|
|
Text Classification (SP)
|
100% |
3128
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
5201
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5188
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2897
49.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4517
78.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4418
76.4 IPS |
