iPhone 15 Pro Max
Geekbench AI Score
3439
Single Precision Score
5951
Half Precision Score
4954
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Aniev73 |
| Upload Date | October 06 2024 05:08 AM |
| Views | 5 |
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% |
1689
314.1 IPS |
|
|
Image Classification (HP)
|
100% |
2925
544.0 IPS |
|
|
Image Classification (Q)
|
96% |
1991
371.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1681
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2544
41.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3092
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7558
8.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
15558
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13585
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1730
137.2 IPS |
|
|
Object Detection (HP)
|
97% |
3298
262.5 IPS |
|
|
Object Detection (Q)
|
94% |
2364
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
3122
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6728
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
3754
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6840
52.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13035
100.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8892
69.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17553
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25536
32.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23517
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3661
135.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5740
212.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2409
89.0 IPS |
|
|
Text Classification (SP)
|
100% |
1538
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3046
4.07 KIPS |
|
|
Text Classification (Q)
|
93% |
4461
5.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2954
50.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3729
64.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5347
92.4 IPS |
