iPhone 15 Pro Max
Geekbench AI Score
4102
Single Precision Score
4622
Half Precision Score
4181
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | yuyhero |
| Upload Date | August 16 2024 07:40 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1739
323.3 IPS |
|
|
Image Classification (HP)
|
100% |
1757
326.7 IPS |
|
|
Image Classification (Q)
|
99% |
2014
375.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3007
48.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3893
63.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
3895
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14985
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15903
18.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
12785
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
2485
197.1 IPS |
|
|
Object Detection (HP)
|
100% |
2595
205.9 IPS |
|
|
Object Detection (Q)
|
92% |
2202
175.8 IPS |
|
|
Face Detection (SP)
|
100% |
6096
72.4 IPS |
|
|
Face Detection (HP)
|
100% |
8626
102.5 IPS |
|
|
Face Detection (Q)
|
100% |
6048
71.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11211
86.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12940
99.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
13091
101.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29533
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35027
45.0 IPS |
|
|
Style Transfer (Q)
|
100% |
36011
46.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6177
228.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6619
244.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5247
194.4 IPS |
|
|
Text Classification (SP)
|
100% |
494
659.2 IPS |
|
|
Text Classification (HP)
|
100% |
504
673.1 IPS |
|
|
Text Classification (Q)
|
93% |
313
419.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1125
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1210
20.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1582
27.3 IPS |
