iPhone 15 Pro Max
Geekbench AI Score
4010
Single Precision Score
6880
Half Precision Score
5618
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 08:22 PM |
| 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% |
1724
320.6 IPS |
|
|
Image Classification (HP)
|
100% |
2910
541.1 IPS |
|
|
Image Classification (Q)
|
96% |
2014
376.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1660
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2442
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3095
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8319
9.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
16976
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14650
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1802
142.9 IPS |
|
|
Object Detection (HP)
|
97% |
3369
268.2 IPS |
|
|
Object Detection (Q)
|
94% |
2362
188.3 IPS |
|
|
Face Detection (SP)
|
100% |
3212
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
6725
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
3857
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7245
55.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13594
105.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9307
72.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21598
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32739
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27576
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5044
186.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5838
215.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4426
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
3175
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
5551
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5483
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3115
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6029
104.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6047
104.5 IPS |
