iPhone 15 Pro Max
Geekbench AI Score
2549
Single Precision Score
13769
Half Precision Score
15696
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| Upload Date | August 22 2024 02:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1351
251.2 IPS |
|
|
Image Classification (HP)
|
100% |
6202
1.15 KIPS |
|
|
Image Classification (Q)
|
99% |
6813
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
749
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5201
84.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
5200
84.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6703
7.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
86269
100.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
142139
166.7 IPS |
|
|
Object Detection (SP)
|
100% |
1391
110.4 IPS |
|
|
Object Detection (HP)
|
100% |
8238
653.5 IPS |
|
|
Object Detection (Q)
|
93% |
9012
719.1 IPS |
|
|
Face Detection (SP)
|
100% |
2047
24.3 IPS |
|
|
Face Detection (HP)
|
100% |
10689
127.0 IPS |
|
|
Face Detection (Q)
|
100% |
13283
157.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4374
33.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
43343
333.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
47788
369.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11683
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
127698
164.2 IPS |
|
|
Style Transfer (Q)
|
100% |
127905
164.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3816
140.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18388
679.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
25061
928.5 IPS |
|
|
Text Classification (SP)
|
100% |
1691
2.26 KIPS |
|
|
Text Classification (HP)
|
71% |
4048
5.82 KIPS |
|
|
Text Classification (Q)
|
69% |
4263
6.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1821
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2427
41.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2307
39.9 IPS |
