iPhone 15 Pro Max
Geekbench AI Score
3912
Single Precision Score
6778
Half Precision Score
5946
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | August 15 2024 06:31 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1713
318.6 IPS |
|
|
Image Classification (HP)
|
100% |
2900
539.4 IPS |
|
|
Image Classification (Q)
|
99% |
2955
551.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2391
38.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2395
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7967
9.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
16252
19.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14064
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1767
140.1 IPS |
|
|
Object Detection (HP)
|
97% |
3321
264.4 IPS |
|
|
Object Detection (Q)
|
94% |
2343
186.8 IPS |
|
|
Face Detection (SP)
|
100% |
3142
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6531
77.6 IPS |
|
|
Face Detection (Q)
|
100% |
3782
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6904
53.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13128
101.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
13166
101.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20862
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32058
41.2 IPS |
|
|
Style Transfer (Q)
|
100% |
32199
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4830
178.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5855
216.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4338
160.7 IPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5673
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5501
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3096
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5995
103.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6195
107.1 IPS |
