iPhone 15 Pro Max
Geekbench AI Score
3968
Single Precision Score
24022
Half Precision Score
33732
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 02:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1704
316.9 IPS |
|
|
Image Classification (HP)
|
100% |
10752
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
14461
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1599
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15782
255.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20779
336.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8214
9.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
107619
125.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
204531
239.7 IPS |
|
|
Object Detection (SP)
|
100% |
1807
143.3 IPS |
|
|
Object Detection (HP)
|
100% |
13638
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
18526
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
3150
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
34647
411.7 IPS |
|
|
Face Detection (Q)
|
100% |
50100
595.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7090
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
77993
600.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
127671
998.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21472
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
203066
261.0 IPS |
|
|
Style Transfer (Q)
|
96% |
245815
317.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5041
186.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33795
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56302
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (Q)
|
93% |
2910
3.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3106
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5959
102.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6503
112.4 IPS |
