iPhone 15 Pro Max
Geekbench AI Score
4006
Single Precision Score
6899
Half Precision Score
5661
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 08:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1721
320.1 IPS |
|
|
Image Classification (HP)
|
100% |
2943
547.3 IPS |
|
|
Image Classification (Q)
|
96% |
2016
376.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1617
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3088
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8372
9.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
17140
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14814
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1816
144.0 IPS |
|
|
Object Detection (HP)
|
97% |
3365
267.9 IPS |
|
|
Object Detection (Q)
|
94% |
2360
188.1 IPS |
|
|
Face Detection (SP)
|
100% |
3205
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6769
80.4 IPS |
|
|
Face Detection (Q)
|
100% |
3920
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7258
55.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13618
105.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9380
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21603
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33060
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27729
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5039
186.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5971
220.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4446
164.2 IPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5501
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5693
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3116
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6010
103.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6018
104.0 IPS |
