iPhone 15 Pro Max
Geekbench AI Score
4905
Single Precision Score
5829
Half Precision Score
5322
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 02:33 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% |
2153
400.3 IPS |
|
|
Image Classification (HP)
|
100% |
2114
393.1 IPS |
|
|
Image Classification (Q)
|
97% |
2054
383.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2738
44.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3717
60.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3755
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13440
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14314
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13577
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2421
192.1 IPS |
|
|
Object Detection (HP)
|
100% |
2759
218.8 IPS |
|
|
Object Detection (Q)
|
91% |
2341
187.1 IPS |
|
|
Face Detection (SP)
|
100% |
6154
73.1 IPS |
|
|
Face Detection (HP)
|
100% |
8431
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
6126
72.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10924
84.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11910
91.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
10410
81.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27492
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32613
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30476
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5944
219.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6200
228.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5094
188.1 IPS |
|
|
Text Classification (SP)
|
100% |
3113
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
5289
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5291
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1230
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1359
23.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1420
24.5 IPS |
