iPhone 15 Pro Max
Geekbench AI Score
3961
Single Precision Score
21409
Half Precision Score
27326
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | yerrihakim |
| Upload Date | August 16 2024 02:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1721
320.1 IPS |
|
|
Image Classification (HP)
|
100% |
11321
2.11 KIPS |
|
|
Image Classification (Q)
|
99% |
13280
2.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1661
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10767
174.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
10784
174.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8103
9.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
101434
118.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
197825
232.0 IPS |
|
|
Object Detection (SP)
|
100% |
1787
141.7 IPS |
|
|
Object Detection (HP)
|
100% |
13025
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
19024
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3190
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
21723
258.1 IPS |
|
|
Face Detection (Q)
|
100% |
34911
414.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7069
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
64363
495.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
74044
572.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20918
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
136949
176.1 IPS |
|
|
Style Transfer (Q)
|
100% |
138664
178.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4915
181.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34108
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
55235
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3195
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3097
4.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3065
4.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3104
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6213
107.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7100
122.7 IPS |
