iPhone 15 Pro Max
Geekbench AI Score
3803
Single Precision Score
6652
Half Precision Score
5434
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 10:32 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% |
1707
317.4 IPS |
|
|
Image Classification (HP)
|
100% |
2915
542.1 IPS |
|
|
Image Classification (Q)
|
96% |
2003
374.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1589
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2982
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7532
8.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
15244
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13285
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1670
132.5 IPS |
|
|
Object Detection (HP)
|
97% |
3237
257.7 IPS |
|
|
Object Detection (Q)
|
94% |
2266
180.7 IPS |
|
|
Face Detection (SP)
|
100% |
3113
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6423
76.3 IPS |
|
|
Face Detection (Q)
|
100% |
3715
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6672
51.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13021
100.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8955
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19951
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31375
40.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26304
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4593
169.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5717
211.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4272
157.7 IPS |
|
|
Text Classification (SP)
|
100% |
3169
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
5477
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5608
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3081
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5996
103.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5964
103.1 IPS |
