iPhone 15 Pro Max
Geekbench AI Score
3809
Single Precision Score
6694
Half Precision Score
5443
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 08:00 AM |
| 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% |
1676
311.8 IPS |
|
|
Image Classification (HP)
|
100% |
2935
545.8 IPS |
|
|
Image Classification (Q)
|
96% |
2022
377.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1599
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2429
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2870
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7525
8.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
15687
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13638
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1678
133.1 IPS |
|
|
Object Detection (HP)
|
97% |
3170
252.4 IPS |
|
|
Object Detection (Q)
|
94% |
2316
184.6 IPS |
|
|
Face Detection (SP)
|
100% |
3101
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6532
77.6 IPS |
|
|
Face Detection (Q)
|
100% |
3710
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6646
51.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13224
102.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8997
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20183
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
30690
39.5 IPS |
|
|
Style Transfer (Q)
|
96% |
25822
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4593
169.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5996
221.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4410
162.8 IPS |
|
|
Text Classification (SP)
|
100% |
3213
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5391
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5476
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3102
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5948
102.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5989
103.5 IPS |
