iPhone 15 Pro Max
Geekbench AI Score
2762
Single Precision Score
13879
Half Precision Score
16068
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | yuyhero |
| Upload Date | August 16 2024 07:52 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1423
264.6 IPS |
|
|
Image Classification (HP)
|
100% |
6138
1.14 KIPS |
|
|
Image Classification (Q)
|
99% |
6703
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
809
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5219
84.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
5198
84.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7598
8.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
87500
102.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
149028
174.8 IPS |
|
|
Object Detection (SP)
|
100% |
1498
118.8 IPS |
|
|
Object Detection (HP)
|
100% |
8178
648.7 IPS |
|
|
Object Detection (Q)
|
93% |
9927
792.1 IPS |
|
|
Face Detection (SP)
|
100% |
2286
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
11161
132.6 IPS |
|
|
Face Detection (Q)
|
100% |
13289
157.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4796
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
42379
326.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
48196
372.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12486
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
127888
164.4 IPS |
|
|
Style Transfer (Q)
|
100% |
128498
165.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4149
153.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18244
673.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
25619
949.1 IPS |
|
|
Text Classification (SP)
|
100% |
1819
2.43 KIPS |
|
|
Text Classification (HP)
|
71% |
4041
5.81 KIPS |
|
|
Text Classification (Q)
|
69% |
4134
6.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1910
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2595
44.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2554
44.1 IPS |
