iPhone 15 Pro Max
Geekbench AI Score
3901
Single Precision Score
20863
Half Precision Score
27536
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | WJOhnas |
| Upload Date | August 17 2024 01:41 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1679
312.3 IPS |
|
|
Image Classification (HP)
|
100% |
10622
1.98 KIPS |
|
|
Image Classification (Q)
|
99% |
13142
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1672
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10976
177.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
10887
176.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7525
8.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
101806
118.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
200124
234.7 IPS |
|
|
Object Detection (SP)
|
100% |
1763
139.9 IPS |
|
|
Object Detection (HP)
|
100% |
13093
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
18702
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
3136
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
21753
258.5 IPS |
|
|
Face Detection (Q)
|
100% |
34759
413.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6953
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
63826
491.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
74042
572.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20448
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
138958
178.6 IPS |
|
|
Style Transfer (Q)
|
100% |
138655
178.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4792
176.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33676
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
56161
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3188
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2560
3.42 KIPS |
|
|
Text Classification (Q)
|
93% |
3209
4.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3220
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6045
104.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7279
125.8 IPS |
