iPhone 15 Pro Max
Geekbench AI Score
4999
Single Precision Score
5961
Half Precision Score
5355
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 24 2024 12:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2170
403.6 IPS |
|
|
Image Classification (HP)
|
100% |
2358
438.5 IPS |
|
|
Image Classification (Q)
|
97% |
2130
397.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2787
45.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3799
61.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3792
61.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13530
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14390
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13505
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
2472
196.1 IPS |
|
|
Object Detection (HP)
|
100% |
2715
215.4 IPS |
|
|
Object Detection (Q)
|
91% |
2298
183.7 IPS |
|
|
Face Detection (SP)
|
100% |
6276
74.6 IPS |
|
|
Face Detection (HP)
|
100% |
8545
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
6058
72.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10935
84.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11901
91.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
10266
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27561
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32491
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30876
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6077
224.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6319
233.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4995
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5660
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5672
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1308
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1370
23.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1424
24.6 IPS |
