iPhone 15 Pro Max
Geekbench AI Score
4933
Single Precision Score
5939
Half Precision Score
5335
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | grouchyfluff |
| Upload Date | November 02 2024 09:46 PM |
| Views | 3 |
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% |
1787
332.3 IPS |
|
|
Image Classification (HP)
|
100% |
2143
398.6 IPS |
|
|
Image Classification (Q)
|
97% |
1907
355.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2932
47.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3952
64.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4053
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15037
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15975
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14974
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2497
198.1 IPS |
|
|
Object Detection (HP)
|
100% |
2939
233.1 IPS |
|
|
Object Detection (Q)
|
91% |
2421
193.4 IPS |
|
|
Face Detection (SP)
|
100% |
6634
78.8 IPS |
|
|
Face Detection (HP)
|
100% |
8978
106.7 IPS |
|
|
Face Detection (Q)
|
100% |
6281
74.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11811
91.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12735
98.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
10945
85.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29829
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35713
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33935
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6392
236.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6515
240.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5472
202.1 IPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5630
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5561
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
909
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
917
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
940
16.2 IPS |
