iPhone 15 Pro Max
Geekbench AI Score
4979
Single Precision Score
5760
Half Precision Score
5210
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | rafaexnexus |
| Upload Date | September 10 2024 02:41 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1948
362.3 IPS |
|
|
Image Classification (HP)
|
100% |
1714
318.7 IPS |
|
|
Image Classification (Q)
|
97% |
1746
325.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3043
49.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3934
63.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3995
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15050
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15853
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14684
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2619
207.8 IPS |
|
|
Object Detection (HP)
|
100% |
2660
211.0 IPS |
|
|
Object Detection (Q)
|
91% |
2353
188.0 IPS |
|
|
Face Detection (SP)
|
100% |
6219
73.9 IPS |
|
|
Face Detection (HP)
|
100% |
8891
105.6 IPS |
|
|
Face Detection (Q)
|
100% |
6244
74.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11682
90.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12672
97.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
10520
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29617
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35888
46.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32509
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6418
237.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6707
247.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5253
194.0 IPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5585
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5601
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
910
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
975
16.8 IPS |
