iPhone 15 Pro Max
Geekbench AI Score
4050
Single Precision Score
23172
Half Precision Score
30260
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | asto18089 |
| Upload Date | September 07 2024 04:57 PM |
| Views | 17 |
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% |
1699
316.0 IPS |
|
|
Image Classification (HP)
|
100% |
11357
2.11 KIPS |
|
|
Image Classification (Q)
|
97% |
15213
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1688
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12879
208.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
15914
258.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8585
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
106653
124.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
204215
239.4 IPS |
|
|
Object Detection (SP)
|
100% |
1834
145.5 IPS |
|
|
Object Detection (HP)
|
100% |
13842
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18946
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3215
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
33374
396.6 IPS |
|
|
Face Detection (Q)
|
100% |
48689
578.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7317
56.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78680
606.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
128224
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
22138
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
138744
178.4 IPS |
|
|
Style Transfer (Q)
|
96% |
164741
212.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5129
189.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35681
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59851
2.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2454
3.27 KIPS |
|
|
Text Classification (Q)
|
93% |
1529
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3087
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6480
111.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7303
126.2 IPS |
