iPhone 15 Pro Max
Geekbench AI Score
4870
Single Precision Score
5753
Half Precision Score
5198
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 06:02 AM |
| Views | 1 |
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% |
1599
297.4 IPS |
|
|
Image Classification (HP)
|
100% |
1643
305.6 IPS |
|
|
Image Classification (Q)
|
97% |
1797
335.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2936
47.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3882
62.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4012
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15153
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15947
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14725
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2580
204.6 IPS |
|
|
Object Detection (HP)
|
100% |
2835
224.9 IPS |
|
|
Object Detection (Q)
|
91% |
2373
189.6 IPS |
|
|
Face Detection (SP)
|
100% |
6406
76.1 IPS |
|
|
Face Detection (HP)
|
100% |
8866
105.3 IPS |
|
|
Face Detection (Q)
|
100% |
6223
73.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11773
90.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13137
101.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
10375
81.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30076
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34749
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32108
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6275
231.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6610
244.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5318
196.4 IPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5509
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5451
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
953
16.5 IPS |
