iPhone 15 Pro Max
Geekbench AI Score
3807
Single Precision Score
6678
Half Precision Score
5475
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 08:15 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% |
1630
303.1 IPS |
|
|
Image Classification (HP)
|
100% |
2905
540.2 IPS |
|
|
Image Classification (Q)
|
96% |
2015
376.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1619
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2393
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3054
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7310
8.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
14888
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13311
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1731
137.3 IPS |
|
|
Object Detection (HP)
|
97% |
3250
258.8 IPS |
|
|
Object Detection (Q)
|
94% |
2277
181.5 IPS |
|
|
Face Detection (SP)
|
100% |
3031
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
6576
78.1 IPS |
|
|
Face Detection (Q)
|
100% |
3765
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6773
52.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13139
101.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9089
71.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20221
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31453
40.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26592
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4670
172.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5803
214.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4332
160.0 IPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5507
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5506
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3097
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6039
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5980
103.3 IPS |
