iPhone 15 Pro Max
Geekbench AI Score
3809
Single Precision Score
21050
Half Precision Score
27346
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | August 15 2024 08:14 PM |
| Views | 14 |
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% |
1653
307.4 IPS |
|
|
Image Classification (HP)
|
100% |
10502
1.95 KIPS |
|
|
Image Classification (Q)
|
99% |
12481
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1573
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10965
177.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
10876
176.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7367
8.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
102058
119.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
196393
230.4 IPS |
|
|
Object Detection (SP)
|
100% |
1712
135.8 IPS |
|
|
Object Detection (HP)
|
100% |
12770
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
18166
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
3100
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
21785
258.9 IPS |
|
|
Face Detection (Q)
|
100% |
36660
435.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6855
52.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
64241
494.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
73522
568.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20144
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
137755
177.1 IPS |
|
|
Style Transfer (Q)
|
100% |
138305
177.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4725
174.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33882
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
55771
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3103
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
2895
3.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3230
4.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3124
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6021
103.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7193
124.3 IPS |
