iPhone 15 Pro Max
Geekbench AI Score
3627
Single Precision Score
5466
Half Precision Score
4518
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | bjornjd |
| Upload Date | August 15 2024 05:24 PM |
| Views | 8 |
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% |
1697
315.6 IPS |
|
|
Image Classification (HP)
|
100% |
2222
413.2 IPS |
|
|
Image Classification (Q)
|
99% |
2219
414.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1453
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1333
21.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
1342
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7270
8.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
15477
18.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
13271
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1696
134.5 IPS |
|
|
Object Detection (HP)
|
97% |
2595
206.6 IPS |
|
|
Object Detection (Q)
|
94% |
1958
156.1 IPS |
|
|
Face Detection (SP)
|
100% |
2822
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
4908
58.3 IPS |
|
|
Face Detection (Q)
|
100% |
3073
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5883
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9432
72.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
4875
37.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19712
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30432
39.1 IPS |
|
|
Style Transfer (Q)
|
100% |
30468
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4564
168.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6141
226.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4349
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
3148
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
5195
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5175
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2761
47.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4460
77.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4459
77.1 IPS |
