iPhone 15 Pro Max
Geekbench AI Score
4934
Single Precision Score
6001
Half Precision Score
5306
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 02:01 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% |
2221
413.1 IPS |
|
|
Image Classification (HP)
|
100% |
2655
493.7 IPS |
|
|
Image Classification (Q)
|
97% |
2123
396.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2757
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3710
60.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3745
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13265
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14100
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13246
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
2472
196.1 IPS |
|
|
Object Detection (HP)
|
100% |
2733
216.8 IPS |
|
|
Object Detection (Q)
|
91% |
2283
182.4 IPS |
|
|
Face Detection (SP)
|
100% |
6218
73.9 IPS |
|
|
Face Detection (HP)
|
100% |
8534
101.4 IPS |
|
|
Face Detection (Q)
|
100% |
5969
70.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11071
85.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11805
90.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10381
81.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27075
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32067
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30414
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5927
218.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6240
230.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5038
186.0 IPS |
|
|
Text Classification (SP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5508
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5477
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1211
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1439
24.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1416
24.5 IPS |
