iPhone 15 Pro Max
Geekbench AI Score
4983
Single Precision Score
5963
Half Precision Score
5355
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | khancool96 |
| Upload Date | December 12 2024 05:15 PM |
| Views | 7 |
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% |
2186
406.6 IPS |
|
|
Image Classification (HP)
|
100% |
2360
438.8 IPS |
|
|
Image Classification (Q)
|
97% |
2122
396.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2763
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3709
60.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3804
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13340
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14209
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13399
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2539
201.4 IPS |
|
|
Object Detection (HP)
|
100% |
2787
221.1 IPS |
|
|
Object Detection (Q)
|
91% |
2339
186.9 IPS |
|
|
Face Detection (SP)
|
100% |
6331
75.2 IPS |
|
|
Face Detection (HP)
|
100% |
8501
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
6041
71.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10924
84.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11940
92.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
10254
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27373
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32606
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30550
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6024
222.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6357
234.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5078
187.5 IPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5540
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5641
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1408
24.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1414
24.4 IPS |
