iPhone 15 Pro Max
Geekbench AI Score
2761
Single Precision Score
14288
Half Precision Score
16401
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | mrxoom1974 |
| Upload Date | August 16 2024 04:41 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1453
270.2 IPS |
|
|
Image Classification (HP)
|
100% |
6544
1.22 KIPS |
|
|
Image Classification (Q)
|
99% |
7005
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
796
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5215
84.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
5197
84.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7772
9.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
87472
102.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
150448
176.5 IPS |
|
|
Object Detection (SP)
|
100% |
1460
115.8 IPS |
|
|
Object Detection (HP)
|
100% |
8242
653.8 IPS |
|
|
Object Detection (Q)
|
93% |
9909
790.6 IPS |
|
|
Face Detection (SP)
|
100% |
2226
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
11117
132.1 IPS |
|
|
Face Detection (Q)
|
100% |
13239
157.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4727
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
43478
335.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
47797
369.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12650
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
127829
164.3 IPS |
|
|
Style Transfer (Q)
|
100% |
128443
165.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4169
153.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18403
679.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
25754
954.2 IPS |
|
|
Text Classification (SP)
|
100% |
1847
2.47 KIPS |
|
|
Text Classification (HP)
|
71% |
4917
7.07 KIPS |
|
|
Text Classification (Q)
|
69% |
4805
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1915
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2578
44.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2581
44.6 IPS |
