iPhone 15 Pro Max
Geekbench AI Score
3878
Single Precision Score
6759
Half Precision Score
5863
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Estudio-Iron |
| Upload Date | August 18 2024 05:33 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1698
315.8 IPS |
|
|
Image Classification (HP)
|
100% |
2917
542.4 IPS |
|
|
Image Classification (Q)
|
99% |
2938
547.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1660
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2480
40.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
2418
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7723
9.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
15643
18.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13673
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1737
137.8 IPS |
|
|
Object Detection (HP)
|
97% |
3270
260.3 IPS |
|
|
Object Detection (Q)
|
94% |
2291
182.6 IPS |
|
|
Face Detection (SP)
|
100% |
3132
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6578
78.2 IPS |
|
|
Face Detection (Q)
|
100% |
3714
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6831
52.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13212
102.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
13237
102.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20334
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31506
40.5 IPS |
|
|
Style Transfer (Q)
|
100% |
31618
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4742
175.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5770
213.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4238
157.0 IPS |
|
|
Text Classification (SP)
|
100% |
3186
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5661
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5447
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3101
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6021
104.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6012
103.9 IPS |
