iPhone 15 Pro Max
Geekbench AI Score
4020
Single Precision Score
6928
Half Precision Score
5650
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Helwar |
| Upload Date | September 28 2024 09:15 PM |
| Views | 4 |
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% |
1697
315.6 IPS |
|
|
Image Classification (HP)
|
100% |
2919
542.8 IPS |
|
|
Image Classification (Q)
|
96% |
2026
378.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1613
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2526
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3079
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8571
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17151
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14793
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1815
144.0 IPS |
|
|
Object Detection (HP)
|
97% |
3350
266.7 IPS |
|
|
Object Detection (Q)
|
94% |
2348
187.2 IPS |
|
|
Face Detection (SP)
|
100% |
3182
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6721
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
3874
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7260
55.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13657
105.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9372
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21963
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32965
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27939
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5037
186.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5931
219.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4439
163.9 IPS |
|
|
Text Classification (SP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5541
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5613
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3120
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6049
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6054
104.6 IPS |
