iPhone 15 Pro Max
Geekbench AI Score
3580
Single Precision Score
5325
Half Precision Score
4434
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | yuyhero |
| Upload Date | August 16 2024 07:46 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1659
308.5 IPS |
|
|
Image Classification (HP)
|
100% |
2157
401.2 IPS |
|
|
Image Classification (Q)
|
99% |
2189
408.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1311
21.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1322
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6833
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
14868
17.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
12442
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1737
137.8 IPS |
|
|
Object Detection (HP)
|
97% |
2535
201.8 IPS |
|
|
Object Detection (Q)
|
94% |
1958
156.0 IPS |
|
|
Face Detection (SP)
|
100% |
2836
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
4869
57.9 IPS |
|
|
Face Detection (Q)
|
100% |
3094
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5983
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9273
71.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
4760
36.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19039
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29790
38.3 IPS |
|
|
Style Transfer (Q)
|
100% |
29854
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4639
171.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5752
212.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4255
157.6 IPS |
|
|
Text Classification (SP)
|
100% |
3144
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
5134
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5116
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2692
46.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4334
74.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4356
75.3 IPS |
