iPhone 15 Pro Max
Geekbench AI Score
3898
Single Precision Score
6771
Half Precision Score
5900
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | HNT |
| Upload Date | August 16 2024 12:08 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1704
317.0 IPS |
|
|
Image Classification (HP)
|
100% |
2929
544.7 IPS |
|
|
Image Classification (Q)
|
99% |
2923
545.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1600
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2366
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7888
9.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
15995
18.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
13922
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1747
138.6 IPS |
|
|
Object Detection (HP)
|
97% |
3317
264.1 IPS |
|
|
Object Detection (Q)
|
94% |
2319
184.9 IPS |
|
|
Face Detection (SP)
|
100% |
3148
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6592
78.3 IPS |
|
|
Face Detection (Q)
|
100% |
3806
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6974
53.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13140
101.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
13293
102.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20637
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31881
41.0 IPS |
|
|
Style Transfer (Q)
|
100% |
32066
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4810
177.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5926
218.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4314
159.8 IPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5506
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5448
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3104
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6046
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6005
103.8 IPS |
