iPhone 15 Pro Max
Geekbench AI Score
4949
Single Precision Score
5823
Half Precision Score
5199
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | franky2000 |
| Upload Date | September 20 2024 05:25 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
2017
375.2 IPS |
|
|
Image Classification (HP)
|
100% |
1674
311.4 IPS |
|
|
Image Classification (Q)
|
97% |
1804
336.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2950
47.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3957
64.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4018
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15059
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15901
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13579
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2543
201.7 IPS |
|
|
Object Detection (HP)
|
100% |
3138
248.9 IPS |
|
|
Object Detection (Q)
|
91% |
2395
191.4 IPS |
|
|
Face Detection (SP)
|
100% |
6244
74.2 IPS |
|
|
Face Detection (HP)
|
100% |
8859
105.3 IPS |
|
|
Face Detection (Q)
|
100% |
6219
73.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11605
89.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12848
99.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
10333
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29766
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33297
42.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32596
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6354
234.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6585
243.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5364
198.1 IPS |
|
|
Text Classification (SP)
|
100% |
3182
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5511
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5569
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
888
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
979
16.9 IPS |
