iPhone 15 Pro Max
Geekbench AI Score
4008
Single Precision Score
6874
Half Precision Score
5630
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1709
317.8 IPS |
|
|
Image Classification (HP)
|
100% |
2936
546.1 IPS |
|
|
Image Classification (Q)
|
96% |
2020
377.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1619
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2385
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3090
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8355
9.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
16949
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14770
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1806
143.2 IPS |
|
|
Object Detection (HP)
|
97% |
3369
268.2 IPS |
|
|
Object Detection (Q)
|
94% |
2358
188.0 IPS |
|
|
Face Detection (SP)
|
100% |
3225
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6758
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
3878
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7239
55.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13675
105.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9432
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21775
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32807
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27633
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5097
188.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5858
216.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4432
163.6 IPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5499
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5460
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3103
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6034
104.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6026
104.1 IPS |
