iPhone 15 Pro Max
Geekbench AI Score
3599
Single Precision Score
5431
Half Precision Score
4479
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | macprime |
| Upload Date | August 15 2024 08:10 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1691
314.4 IPS |
|
|
Image Classification (HP)
|
100% |
2228
414.3 IPS |
|
|
Image Classification (Q)
|
99% |
2206
411.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1460
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
1367
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7184
8.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
15274
17.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
13266
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1690
134.0 IPS |
|
|
Object Detection (HP)
|
97% |
2532
201.6 IPS |
|
|
Object Detection (Q)
|
94% |
1923
153.3 IPS |
|
|
Face Detection (SP)
|
100% |
2786
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
4770
56.7 IPS |
|
|
Face Detection (Q)
|
100% |
3058
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5935
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9178
70.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
4742
36.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19336
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29476
37.9 IPS |
|
|
Style Transfer (Q)
|
100% |
29961
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4437
163.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5851
216.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4254
157.6 IPS |
|
|
Text Classification (SP)
|
100% |
3111
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
5298
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5129
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2758
47.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4686
81.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4462
77.1 IPS |
