iPhone 15 Pro Max
Geekbench AI Score
2741
Single Precision Score
13760
Half Precision Score
16434
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| Upload Date | August 22 2024 11:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6 |
| 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% |
1447
269.2 IPS |
|
|
Image Classification (HP)
|
100% |
6214
1.16 KIPS |
|
|
Image Classification (Q)
|
99% |
6798
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
824
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5204
84.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
5210
84.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7840
9.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
87757
102.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
141139
165.5 IPS |
|
|
Object Detection (SP)
|
100% |
1483
117.6 IPS |
|
|
Object Detection (HP)
|
100% |
8223
652.2 IPS |
|
|
Object Detection (Q)
|
93% |
10046
801.6 IPS |
|
|
Face Detection (SP)
|
100% |
2229
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
11187
132.9 IPS |
|
|
Face Detection (Q)
|
100% |
13456
159.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4558
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
43074
331.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
47761
369.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12304
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
128036
164.6 IPS |
|
|
Style Transfer (Q)
|
100% |
128660
165.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4058
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18433
680.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
25800
955.8 IPS |
|
|
Text Classification (SP)
|
100% |
1830
2.44 KIPS |
|
|
Text Classification (HP)
|
71% |
3909
5.62 KIPS |
|
|
Text Classification (Q)
|
69% |
5489
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1865
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2346
40.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2445
42.2 IPS |
