iPhone 15 Pro Max
Geekbench AI Score
4008
Single Precision Score
6876
Half Precision Score
5623
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Fyrpm |
| Upload Date | September 20 2024 02:58 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1716
319.1 IPS |
|
|
Image Classification (HP)
|
100% |
2923
543.6 IPS |
|
|
Image Classification (Q)
|
96% |
2017
376.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1614
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3090
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8342
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
16984
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14794
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1809
143.5 IPS |
|
|
Object Detection (HP)
|
97% |
3358
267.3 IPS |
|
|
Object Detection (Q)
|
94% |
2350
187.3 IPS |
|
|
Face Detection (SP)
|
100% |
3209
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6730
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
3885
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7244
55.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13671
105.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9246
72.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21304
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32629
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27772
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5015
185.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5838
215.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4411
162.9 IPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5524
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5451
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3235
55.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6136
106.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6082
105.1 IPS |
