iPhone 15 Pro Max
Geekbench AI Score
1770
Single Precision Score
3015
Half Precision Score
2453
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 30 2024 06:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
699
130.1 IPS |
|
|
Image Classification (HP)
|
100% |
1204
223.9 IPS |
|
|
Image Classification (Q)
|
96% |
843
157.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
768
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1128
18.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1315
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3604
4.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
6954
8.11 IPS |
|
|
Pose Estimation (Q)
|
95% |
6499
7.62 IPS |
|
|
Object Detection (SP)
|
100% |
738
58.5 IPS |
|
|
Object Detection (HP)
|
97% |
1436
114.3 IPS |
|
|
Object Detection (Q)
|
94% |
1017
81.0 IPS |
|
|
Face Detection (SP)
|
100% |
1678
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
3041
36.1 IPS |
|
|
Face Detection (Q)
|
100% |
1696
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3049
23.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
5875
45.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
4146
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9232
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14062
18.1 IPS |
|
|
Style Transfer (Q)
|
96% |
11835
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2270
83.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2625
96.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1849
68.3 IPS |
|
|
Text Classification (SP)
|
100% |
1377
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2418
3.23 KIPS |
|
|
Text Classification (Q)
|
93% |
2420
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1435
24.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2876
49.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2893
50.0 IPS |
