iPhone 15 Pro Max
Geekbench AI Score
5009
Single Precision Score
6079
Half Precision Score
5407
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | 365azureguy |
| Upload Date | December 06 2024 05:51 PM |
| Views | 3 |
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% |
2117
393.6 IPS |
|
|
Image Classification (HP)
|
100% |
2486
462.3 IPS |
|
|
Image Classification (Q)
|
97% |
2133
398.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2831
45.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3865
62.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3879
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13637
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
14252
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13474
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
2419
191.9 IPS |
|
|
Object Detection (HP)
|
100% |
2759
218.9 IPS |
|
|
Object Detection (Q)
|
91% |
2338
186.8 IPS |
|
|
Face Detection (SP)
|
100% |
6353
75.5 IPS |
|
|
Face Detection (HP)
|
100% |
9292
110.4 IPS |
|
|
Face Detection (Q)
|
100% |
6512
77.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11451
88.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12527
96.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
10789
84.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28369
36.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33227
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31212
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6085
224.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6196
228.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4957
183.0 IPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5626
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5616
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1250
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1353
23.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1344
23.2 IPS |
