iPhone 15 Pro Max
Geekbench AI Score
2625
Single Precision Score
13752
Half Precision Score
15378
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | DmytroVlasenko |
| Upload Date | August 15 2024 05:28 PM |
| Views | 13 |
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% |
1406
261.5 IPS |
|
|
Image Classification (HP)
|
100% |
6272
1.17 KIPS |
|
|
Image Classification (Q)
|
99% |
6835
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
799
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5250
85.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
5217
84.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7385
8.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
87947
102.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
124870
146.5 IPS |
|
|
Object Detection (SP)
|
100% |
1386
110.0 IPS |
|
|
Object Detection (HP)
|
100% |
8171
648.1 IPS |
|
|
Object Detection (Q)
|
93% |
8943
713.5 IPS |
|
|
Face Detection (SP)
|
100% |
2110
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
10410
123.7 IPS |
|
|
Face Detection (Q)
|
100% |
12710
151.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4381
33.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
43053
331.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
48109
372.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11946
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
127809
164.3 IPS |
|
|
Style Transfer (Q)
|
100% |
126878
163.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3732
137.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18185
671.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24465
906.4 IPS |
|
|
Text Classification (SP)
|
100% |
1762
2.35 KIPS |
|
|
Text Classification (HP)
|
71% |
4128
5.94 KIPS |
|
|
Text Classification (Q)
|
69% |
4154
6.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1866
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2379
41.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2357
40.7 IPS |
