iPhone 15 Pro Max
Geekbench AI Score
4797
Single Precision Score
5830
Half Precision Score
4435
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ChrisCR8IV |
| Upload Date | August 27 2024 06:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1657
308.2 IPS |
|
|
Image Classification (HP)
|
100% |
1835
341.2 IPS |
|
|
Image Classification (Q)
|
99% |
2012
375.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2765
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3926
63.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
3930
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14955
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15902
18.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
14514
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2444
193.8 IPS |
|
|
Object Detection (HP)
|
100% |
3153
250.1 IPS |
|
|
Object Detection (Q)
|
91% |
2230
178.2 IPS |
|
|
Face Detection (SP)
|
100% |
6117
72.7 IPS |
|
|
Face Detection (HP)
|
100% |
8753
104.0 IPS |
|
|
Face Detection (Q)
|
100% |
6267
74.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11480
88.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12643
97.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
1843
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29214
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34521
44.4 IPS |
|
|
Style Transfer (Q)
|
100% |
35608
45.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6389
235.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6424
237.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5178
191.8 IPS |
|
|
Text Classification (SP)
|
100% |
3163
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
5497
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5607
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
930
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
932
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
965
16.7 IPS |
