iPhone 15 Pro Max
Geekbench AI Score
3911
Single Precision Score
6794
Half Precision Score
5513
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:05 AM |
| 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% |
1718
319.5 IPS |
|
|
Image Classification (HP)
|
100% |
2907
540.5 IPS |
|
|
Image Classification (Q)
|
96% |
2006
374.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2411
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3062
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7880
9.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
16135
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14178
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1762
139.8 IPS |
|
|
Object Detection (HP)
|
97% |
3304
263.0 IPS |
|
|
Object Detection (Q)
|
94% |
2320
184.9 IPS |
|
|
Face Detection (SP)
|
100% |
3166
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6596
78.4 IPS |
|
|
Face Detection (Q)
|
100% |
3649
43.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6934
53.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13323
103.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9069
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20764
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31889
41.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26872
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4844
178.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6062
223.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4359
161.0 IPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5475
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5445
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3096
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6033
104.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6092
105.3 IPS |
