iPhone 15 Pro Max
Geekbench AI Score
4979
Single Precision Score
5928
Half Precision Score
5191
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | semperfidelis316 |
| Upload Date | September 21 2024 04:15 PM |
| Views | 8 |
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% |
2060
383.0 IPS |
|
|
Image Classification (HP)
|
100% |
2176
404.7 IPS |
|
|
Image Classification (Q)
|
97% |
1894
353.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2958
47.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3947
64.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4005
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15053
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15914
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14767
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
100% |
2741
217.4 IPS |
|
|
Object Detection (Q)
|
91% |
2223
177.6 IPS |
|
|
Face Detection (SP)
|
100% |
6284
74.7 IPS |
|
|
Face Detection (HP)
|
100% |
8763
104.1 IPS |
|
|
Face Detection (Q)
|
100% |
6204
73.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11459
88.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12912
99.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
10334
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29868
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35730
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31986
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6450
238.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6787
250.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5282
195.0 IPS |
|
|
Text Classification (SP)
|
100% |
3185
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5485
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5557
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
931
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
951
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
948
16.4 IPS |
