iPhone 15 Pro Max
Geekbench AI Score
3313
Single Precision Score
4795
Half Precision Score
4333
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 11 2024 03:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1686
313.6 IPS |
|
|
Image Classification (HP)
|
100% |
2208
410.6 IPS |
|
|
Image Classification (Q)
|
96% |
1647
307.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1406
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2076
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7631
8.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
16117
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14651
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1759
139.5 IPS |
|
|
Object Detection (HP)
|
97% |
2570
204.6 IPS |
|
|
Object Detection (Q)
|
94% |
1962
156.4 IPS |
|
|
Face Detection (SP)
|
100% |
2830
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
4759
56.6 IPS |
|
|
Face Detection (Q)
|
100% |
2293
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4409
34.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
6369
49.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6830
53.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17524
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26654
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23360
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3705
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3928
145.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4158
153.5 IPS |
|
|
Text Classification (SP)
|
100% |
2598
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4185
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4556
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2383
41.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3987
68.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3429
59.3 IPS |
