iPhone 15 Pro Max
Geekbench AI Score
3975
Single Precision Score
6839
Half Precision Score
5587
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 12:54 AM |
| Views | 1 |
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% |
1719
319.8 IPS |
|
|
Image Classification (HP)
|
100% |
2935
545.8 IPS |
|
|
Image Classification (Q)
|
96% |
2017
376.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1619
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2391
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3078
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8318
9.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
16900
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14608
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1795
142.3 IPS |
|
|
Object Detection (HP)
|
97% |
3346
266.4 IPS |
|
|
Object Detection (Q)
|
94% |
2350
187.3 IPS |
|
|
Face Detection (SP)
|
100% |
3146
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6654
79.1 IPS |
|
|
Face Detection (Q)
|
100% |
3848
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7207
55.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13600
105.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9267
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21458
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32838
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27645
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4967
183.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5970
220.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4465
164.9 IPS |
|
|
Text Classification (SP)
|
100% |
3185
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5326
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5287
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3083
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5971
103.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5976
103.3 IPS |
