iPhone 15 Pro Max
Geekbench AI Score
5011
Single Precision Score
5783
Half Precision Score
5218
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | pakitt |
| Upload Date | September 19 2024 06:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
2018
375.4 IPS |
|
|
Image Classification (HP)
|
100% |
1638
304.6 IPS |
|
|
Image Classification (Q)
|
97% |
1804
336.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2980
48.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4005
64.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4039
65.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15048
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15907
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14680
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2540
201.5 IPS |
|
|
Object Detection (HP)
|
100% |
2810
222.9 IPS |
|
|
Object Detection (Q)
|
91% |
2423
193.6 IPS |
|
|
Face Detection (SP)
|
100% |
6466
76.8 IPS |
|
|
Face Detection (HP)
|
100% |
8886
105.6 IPS |
|
|
Face Detection (Q)
|
100% |
6179
73.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11865
91.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12769
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
10347
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29870
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35775
46.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32413
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6474
239.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6651
245.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5221
192.8 IPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5663
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5454
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
914
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
980
16.9 IPS |
