iPhone 15 Pro Max
Geekbench AI Score
3702
Single Precision Score
20902
Half Precision Score
26694
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | abhimanbhau |
| Upload Date | August 30 2024 10:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1588
295.4 IPS |
|
|
Image Classification (HP)
|
100% |
10707
1.99 KIPS |
|
|
Image Classification (Q)
|
99% |
12548
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1538
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10981
178.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
10919
177.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7025
8.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
97860
114.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
198398
232.7 IPS |
|
|
Object Detection (SP)
|
100% |
1688
133.9 IPS |
|
|
Object Detection (HP)
|
100% |
13070
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
18869
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
2901
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
21897
260.2 IPS |
|
|
Face Detection (Q)
|
100% |
36989
439.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6678
51.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
63861
492.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
73743
570.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19378
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
137460
176.7 IPS |
|
|
Style Transfer (Q)
|
100% |
137410
176.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4554
168.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33554
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
53650
1.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3176
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2753
3.67 KIPS |
|
|
Text Classification (Q)
|
93% |
2398
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3081
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5962
102.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7428
128.4 IPS |
