iPhone 15 Pro Max
Geekbench AI Score
3960
Single Precision Score
22499
Half Precision Score
31783
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | WJOhnas |
| Upload Date | September 07 2024 01:37 AM |
| Views | 14 |
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% |
1716
319.0 IPS |
|
|
Image Classification (HP)
|
100% |
11792
2.19 KIPS |
|
|
Image Classification (Q)
|
97% |
15456
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1719
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13005
210.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
15997
259.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8055
9.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
106746
124.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
203196
238.2 IPS |
|
|
Object Detection (SP)
|
100% |
1795
142.3 IPS |
|
|
Object Detection (HP)
|
100% |
13866
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18969
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3188
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
34391
408.6 IPS |
|
|
Face Detection (Q)
|
100% |
48867
580.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7168
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
79013
608.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
130529
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
20349
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
136340
175.3 IPS |
|
|
Style Transfer (Q)
|
96% |
162818
210.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4888
180.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33774
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58799
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3180
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1958
2.61 KIPS |
|
|
Text Classification (Q)
|
93% |
2560
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3080
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5979
103.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7062
122.0 IPS |
