iPhone 15 Pro Max
Geekbench AI Score
4950
Single Precision Score
5856
Half Precision Score
5309
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | October 22 2024 05:27 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1957
363.9 IPS |
|
|
Image Classification (HP)
|
100% |
1758
326.9 IPS |
|
|
Image Classification (Q)
|
97% |
1866
348.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2963
48.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3966
64.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4023
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15067
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15895
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14976
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2511
199.2 IPS |
|
|
Object Detection (HP)
|
100% |
3089
245.0 IPS |
|
|
Object Detection (Q)
|
91% |
2454
196.1 IPS |
|
|
Face Detection (SP)
|
100% |
6311
75.0 IPS |
|
|
Face Detection (HP)
|
100% |
8881
105.5 IPS |
|
|
Face Detection (Q)
|
100% |
6426
76.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11596
89.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12629
97.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
10747
84.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29566
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35625
45.8 IPS |
|
|
Style Transfer (Q)
|
96% |
33756
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6293
232.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6649
245.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5352
197.6 IPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5520
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5590
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
927
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
945
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
925
16.0 IPS |
