iPhone 15 Pro Max
Geekbench AI Score
3742
Single Precision Score
6535
Half Precision Score
5378
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 06:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1654
307.6 IPS |
|
|
Image Classification (HP)
|
100% |
2891
537.7 IPS |
|
|
Image Classification (Q)
|
96% |
2020
377.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1560
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2410
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3025
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7522
8.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
15206
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13344
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1713
135.9 IPS |
|
|
Object Detection (HP)
|
97% |
3253
259.0 IPS |
|
|
Object Detection (Q)
|
94% |
2286
182.2 IPS |
|
|
Face Detection (SP)
|
100% |
3073
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6503
77.3 IPS |
|
|
Face Detection (Q)
|
100% |
3716
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6564
50.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12952
100.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8888
69.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19874
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30831
39.6 IPS |
|
|
Style Transfer (Q)
|
96% |
25997
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4063
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4637
171.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3771
139.2 IPS |
|
|
Text Classification (SP)
|
100% |
3227
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
5704
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5645
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3084
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6008
103.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5951
102.8 IPS |
