iPhone 15 Pro Max
Geekbench AI Score
4925
Single Precision Score
5811
Half Precision Score
5221
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | miso0001 |
| Upload Date | December 08 2024 06:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1888
351.1 IPS |
|
|
Image Classification (HP)
|
100% |
1788
332.5 IPS |
|
|
Image Classification (Q)
|
97% |
1826
340.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2982
48.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3933
63.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4022
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15075
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15889
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14991
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2525
200.3 IPS |
|
|
Object Detection (HP)
|
100% |
2712
215.1 IPS |
|
|
Object Detection (Q)
|
91% |
2358
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
6422
76.3 IPS |
|
|
Face Detection (HP)
|
100% |
8772
104.2 IPS |
|
|
Face Detection (Q)
|
100% |
6303
74.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11458
88.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12812
98.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
10728
83.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29648
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35653
45.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32365
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6375
235.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6662
246.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5273
194.7 IPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5652
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5564
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
880
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
961
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
904
15.6 IPS |
