iPhone 15 Pro Max
Geekbench AI Score
4041
Single Precision Score
6901
Half Precision Score
5659
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1715
318.9 IPS |
|
|
Image Classification (HP)
|
100% |
2936
546.0 IPS |
|
|
Image Classification (Q)
|
96% |
2014
376.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1607
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2380
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3092
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8608
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17313
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15102
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1825
144.8 IPS |
|
|
Object Detection (HP)
|
97% |
3377
268.8 IPS |
|
|
Object Detection (Q)
|
94% |
2353
187.6 IPS |
|
|
Face Detection (SP)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6764
80.4 IPS |
|
|
Face Detection (Q)
|
100% |
3887
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7287
56.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13709
106.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9422
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22033
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33181
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27648
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5177
191.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5877
217.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4454
164.5 IPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5502
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5521
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3116
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6028
104.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6115
105.7 IPS |
