iPhone 15 Pro Max
Geekbench AI Score
3858
Single Precision Score
6695
Half Precision Score
5497
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | rafaexnexus |
| Upload Date | September 10 2024 02:42 PM |
| Views | 5 |
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% |
1660
308.7 IPS |
|
|
Image Classification (HP)
|
100% |
2901
539.4 IPS |
|
|
Image Classification (Q)
|
96% |
2020
377.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1585
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2339
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2995
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7519
8.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
15556
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13677
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1738
137.9 IPS |
|
|
Object Detection (HP)
|
97% |
3287
261.7 IPS |
|
|
Object Detection (Q)
|
94% |
2313
184.3 IPS |
|
|
Face Detection (SP)
|
100% |
3145
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6563
78.0 IPS |
|
|
Face Detection (Q)
|
100% |
3780
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6883
53.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13240
102.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9091
71.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20561
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31712
40.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26592
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4868
179.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5804
214.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4403
162.6 IPS |
|
|
Text Classification (SP)
|
100% |
3185
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5476
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5455
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3081
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5956
102.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6005
103.8 IPS |
