iPhone 15 Pro Max
Geekbench AI Score
3826
Single Precision Score
6643
Half Precision Score
5453
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 12:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1687
313.7 IPS |
|
|
Image Classification (HP)
|
100% |
2918
542.7 IPS |
|
|
Image Classification (Q)
|
96% |
2008
374.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1597
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3020
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7567
8.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
15537
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13541
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1733
137.4 IPS |
|
|
Object Detection (HP)
|
97% |
3269
260.3 IPS |
|
|
Object Detection (Q)
|
94% |
2299
183.3 IPS |
|
|
Face Detection (SP)
|
100% |
3130
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6537
77.7 IPS |
|
|
Face Detection (Q)
|
100% |
3746
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6744
52.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12951
100.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9037
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19928
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31052
39.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26321
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4579
169.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5572
205.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4243
156.7 IPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5495
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5456
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3095
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5939
102.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5972
103.2 IPS |
