iPhone 15 Pro Max
Geekbench AI Score
4967
Single Precision Score
5873
Half Precision Score
5278
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mcx |
| Upload Date | December 03 2024 07:04 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
2000
371.9 IPS |
|
|
Image Classification (HP)
|
100% |
1837
341.6 IPS |
|
|
Image Classification (Q)
|
97% |
1899
354.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2872
46.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3895
63.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4052
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15024
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15914
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15026
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2456
194.8 IPS |
|
|
Object Detection (HP)
|
100% |
3162
250.8 IPS |
|
|
Object Detection (Q)
|
91% |
2358
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
6448
76.6 IPS |
|
|
Face Detection (HP)
|
100% |
8908
105.9 IPS |
|
|
Face Detection (Q)
|
100% |
6223
73.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11757
90.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12689
97.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
10905
85.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29642
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35551
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32643
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6484
239.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6737
248.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5526
204.1 IPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5575
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5519
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
899
15.5 IPS |
|
|
Machine Translation (Q)
|
98% |
912
15.8 IPS |
