iPhone 15 Pro Max
Geekbench AI Score
4941
Single Precision Score
5736
Half Precision Score
5211
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 11:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1849
343.8 IPS |
|
|
Image Classification (HP)
|
100% |
1539
286.2 IPS |
|
|
Image Classification (Q)
|
97% |
1737
324.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2902
47.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3884
63.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3977
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14992
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15916
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15078
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2521
200.0 IPS |
|
|
Object Detection (HP)
|
100% |
2730
216.6 IPS |
|
|
Object Detection (Q)
|
91% |
2214
176.9 IPS |
|
|
Face Detection (SP)
|
100% |
6760
80.3 IPS |
|
|
Face Detection (HP)
|
100% |
9074
107.8 IPS |
|
|
Face Detection (Q)
|
100% |
6596
78.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11916
91.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13350
102.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10481
81.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29222
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34733
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
33704
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6256
231.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6638
245.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5202
192.1 IPS |
|
|
Text Classification (SP)
|
100% |
3226
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
5511
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5477
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
901
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
965
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
965
16.7 IPS |
