iPhone 15 Pro Max
Geekbench AI Score
4923
Single Precision Score
5891
Half Precision Score
5250
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | November 12 2024 05:15 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2108
392.1 IPS |
|
|
Image Classification (HP)
|
100% |
2321
431.6 IPS |
|
|
Image Classification (Q)
|
97% |
2068
386.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2725
44.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3736
60.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3729
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13157
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
13997
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13188
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
2502
198.5 IPS |
|
|
Object Detection (HP)
|
100% |
2744
217.6 IPS |
|
|
Object Detection (Q)
|
91% |
2245
179.4 IPS |
|
|
Face Detection (SP)
|
100% |
6207
73.8 IPS |
|
|
Face Detection (HP)
|
100% |
8129
96.6 IPS |
|
|
Face Detection (Q)
|
100% |
5793
68.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10828
83.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11720
90.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
10063
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26896
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32268
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30252
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5970
220.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6354
234.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5029
185.7 IPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5515
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5517
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1283
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1405
24.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1424
24.6 IPS |
