iPhone 15 Pro Max
Geekbench AI Score
3647
Single Precision Score
6550
Half Precision Score
5275
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | holgr |
| Upload Date | September 27 2024 03:30 AM |
| Views | 3 |
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% |
1615
300.4 IPS |
|
|
Image Classification (HP)
|
100% |
2954
549.3 IPS |
|
|
Image Classification (Q)
|
96% |
2012
375.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1587
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2403
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2852
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7061
8.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
14013
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11207
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
97% |
3131
249.3 IPS |
|
|
Object Detection (Q)
|
94% |
2207
175.9 IPS |
|
|
Face Detection (SP)
|
100% |
2929
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
6151
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
3589
42.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6398
49.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12368
95.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8578
67.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18896
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30608
39.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26108
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4176
154.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5849
216.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4237
156.4 IPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5724
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5714
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3096
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5993
103.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6051
104.6 IPS |
