iPhone 15 Pro Max
Geekbench AI Score
3994
Single Precision Score
6862
Half Precision Score
5635
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | wonkyDialup |
| Upload Date | December 28 2024 10:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1711
318.3 IPS |
|
|
Image Classification (HP)
|
100% |
2891
537.7 IPS |
|
|
Image Classification (Q)
|
96% |
2026
378.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2412
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3086
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8461
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
17001
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14612
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1809
143.5 IPS |
|
|
Object Detection (HP)
|
97% |
3366
268.0 IPS |
|
|
Object Detection (Q)
|
94% |
2348
187.2 IPS |
|
|
Face Detection (SP)
|
100% |
3134
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6766
80.4 IPS |
|
|
Face Detection (Q)
|
100% |
3901
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7093
54.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13476
104.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9337
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21766
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32759
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27653
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5098
188.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5801
214.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4426
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
3203
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5562
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5606
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3112
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6022
104.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6024
104.1 IPS |
