iPhone 15 Pro Max
Geekbench AI Score
3693
Single Precision Score
6589
Half Precision Score
5343
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 10:20 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% |
1512
281.1 IPS |
|
|
Image Classification (HP)
|
100% |
2930
544.9 IPS |
|
|
Image Classification (Q)
|
96% |
1989
371.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1555
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2985
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6682
7.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
14696
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12484
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1716
136.1 IPS |
|
|
Object Detection (HP)
|
97% |
3191
254.0 IPS |
|
|
Object Detection (Q)
|
94% |
2272
181.1 IPS |
|
|
Face Detection (SP)
|
100% |
3101
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6504
77.3 IPS |
|
|
Face Detection (Q)
|
100% |
3668
43.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6625
51.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12853
99.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8698
68.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19188
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31207
40.1 IPS |
|
|
Style Transfer (Q)
|
96% |
25430
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4524
167.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5725
211.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4253
157.0 IPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5494
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5472
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3073
52.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5943
102.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5972
103.2 IPS |
