iPhone 15 Pro Max
Geekbench AI Score
1803
Single Precision Score
13435
Half Precision Score
18373
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 07 2024 07:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
739
137.5 IPS |
|
|
Image Classification (HP)
|
100% |
6615
1.23 KIPS |
|
|
Image Classification (Q)
|
97% |
9055
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
778
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8699
141.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11451
185.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3633
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
47855
55.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
93811
110.0 IPS |
|
|
Object Detection (SP)
|
100% |
744
59.0 IPS |
|
|
Object Detection (HP)
|
100% |
7088
562.2 IPS |
|
|
Object Detection (Q)
|
91% |
9536
762.0 IPS |
|
|
Face Detection (SP)
|
100% |
1735
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
17474
207.6 IPS |
|
|
Face Detection (Q)
|
100% |
23739
282.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3160
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
39411
303.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
62355
487.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9261
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
100492
129.2 IPS |
|
|
Style Transfer (Q)
|
96% |
125892
162.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2279
84.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18361
678.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30632
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
1376
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1920
2.56 KIPS |
|
|
Text Classification (Q)
|
93% |
2033
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1468
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4024
69.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4074
70.4 IPS |
