iPhone 15 Pro Max
Geekbench AI Score
5013
Single Precision Score
5908
Half Precision Score
5295
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2130
396.1 IPS |
|
|
Image Classification (HP)
|
100% |
2026
376.8 IPS |
|
|
Image Classification (Q)
|
97% |
1897
354.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2966
48.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3894
63.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3976
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15091
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15913
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15057
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2635
209.0 IPS |
|
|
Object Detection (HP)
|
100% |
2820
223.7 IPS |
|
|
Object Detection (Q)
|
91% |
2337
186.7 IPS |
|
|
Face Detection (SP)
|
100% |
6509
77.3 IPS |
|
|
Face Detection (HP)
|
100% |
8897
105.7 IPS |
|
|
Face Detection (Q)
|
100% |
6172
73.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11697
90.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12855
99.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
11098
86.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29983
38.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35414
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
33127
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6393
236.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7049
260.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5531
204.2 IPS |
|
|
Text Classification (SP)
|
100% |
3148
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
5479
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5493
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
870
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
936
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
947
16.4 IPS |
