iPhone 15 Pro Max
Geekbench AI Score
3952
Single Precision Score
6834
Half Precision Score
5583
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 10:55 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% |
1725
320.8 IPS |
|
|
Image Classification (HP)
|
100% |
2948
548.1 IPS |
|
|
Image Classification (Q)
|
96% |
2019
377.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1627
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2422
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3079
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8067
9.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
16320
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14335
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1785
141.6 IPS |
|
|
Object Detection (HP)
|
97% |
3362
267.6 IPS |
|
|
Object Detection (Q)
|
94% |
2335
186.1 IPS |
|
|
Face Detection (SP)
|
100% |
3192
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6691
79.5 IPS |
|
|
Face Detection (Q)
|
100% |
3793
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7085
54.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13441
103.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9234
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20983
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32344
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27237
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4860
179.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5808
214.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4434
163.7 IPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5538
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5521
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3121
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6063
104.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6065
104.8 IPS |
