iPhone 15 Pro Max
Geekbench AI Score
3781
Single Precision Score
6655
Half Precision Score
5442
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 07:18 PM |
| 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% |
1657
308.2 IPS |
|
|
Image Classification (HP)
|
100% |
2919
542.9 IPS |
|
|
Image Classification (Q)
|
96% |
2008
374.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1588
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2393
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3000
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7482
8.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
15507
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13505
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1717
136.2 IPS |
|
|
Object Detection (HP)
|
97% |
3216
256.0 IPS |
|
|
Object Detection (Q)
|
94% |
2282
181.9 IPS |
|
|
Face Detection (SP)
|
100% |
2941
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
6380
75.8 IPS |
|
|
Face Detection (Q)
|
100% |
3669
43.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6766
52.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12911
99.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8978
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20084
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31472
40.5 IPS |
|
|
Style Transfer (Q)
|
96% |
26492
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4573
168.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5790
213.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4336
160.1 IPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5576
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5527
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3031
52.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5850
101.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5874
101.5 IPS |
