iPhone 15 Pro Max
Geekbench AI Score
4811
Single Precision Score
5839
Half Precision Score
5218
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | wksray |
| Upload Date | September 28 2024 07:46 AM |
| Views | 12 |
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% |
1823
339.0 IPS |
|
|
Image Classification (HP)
|
100% |
2039
379.2 IPS |
|
|
Image Classification (Q)
|
97% |
1958
365.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2622
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3893
63.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3991
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14965
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15825
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14876
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2435
193.2 IPS |
|
|
Object Detection (HP)
|
100% |
2949
233.9 IPS |
|
|
Object Detection (Q)
|
91% |
2323
185.6 IPS |
|
|
Face Detection (SP)
|
100% |
6217
73.9 IPS |
|
|
Face Detection (HP)
|
100% |
8696
103.3 IPS |
|
|
Face Detection (Q)
|
100% |
6011
71.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11540
88.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12610
97.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
10763
84.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29941
38.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34649
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
34011
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6217
229.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6546
241.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5398
199.3 IPS |
|
|
Text Classification (SP)
|
100% |
3128
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
5418
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5319
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
913
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
923
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
878
15.2 IPS |
