iPhone 15 Pro Max
Geekbench AI Score
5027
Single Precision Score
5925
Half Precision Score
5364
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 31 2024 01:22 PM |
| Views | 1 |
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% |
2317
430.9 IPS |
|
|
Image Classification (HP)
|
100% |
2311
429.9 IPS |
|
|
Image Classification (Q)
|
97% |
2087
389.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2825
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3777
61.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3782
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13494
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14318
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13541
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2469
195.8 IPS |
|
|
Object Detection (HP)
|
100% |
2749
218.0 IPS |
|
|
Object Detection (Q)
|
91% |
2319
185.3 IPS |
|
|
Face Detection (SP)
|
100% |
6238
74.1 IPS |
|
|
Face Detection (HP)
|
100% |
8422
100.1 IPS |
|
|
Face Detection (Q)
|
100% |
6144
73.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10971
84.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11983
92.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
10326
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27716
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32492
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30757
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6127
226.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6357
234.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5150
190.2 IPS |
|
|
Text Classification (SP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5504
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5483
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1276
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1353
23.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1445
25.0 IPS |
