iPhone 15 Pro Max
Geekbench AI Score
4117
Single Precision Score
4742
Half Precision Score
1642
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | mitgeek |
| Upload Date | September 10 2024 12:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1788
332.4 IPS |
|
|
Image Classification (HP)
|
100% |
1820
338.4 IPS |
|
|
Image Classification (Q)
|
97% |
1880
350.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2932
47.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3994
64.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4108
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14922
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15946
18.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
14719
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2386
189.2 IPS |
|
|
Object Detection (HP)
|
100% |
2972
235.7 IPS |
|
|
Object Detection (Q)
|
92% |
2409
192.3 IPS |
|
|
Face Detection (SP)
|
100% |
6453
76.7 IPS |
|
|
Face Detection (HP)
|
100% |
8621
102.4 IPS |
|
|
Face Detection (Q)
|
100% |
6063
72.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11471
88.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13209
101.8 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
83.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29824
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35180
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33000
42.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6153
227.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6611
244.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5320
196.4 IPS |
|
|
Text Classification (SP)
|
100% |
501
668.9 IPS |
|
|
Text Classification (HP)
|
100% |
508
677.7 IPS |
|
|
Text Classification (Q)
|
93% |
309
414.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1103
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1243
21.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1582
27.3 IPS |
