iPhone 15 Pro Max
Geekbench AI Score
5006
Single Precision Score
6038
Half Precision Score
5258
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1916
356.3 IPS |
|
|
Image Classification (HP)
|
100% |
2217
412.4 IPS |
|
|
Image Classification (Q)
|
97% |
1834
342.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2965
48.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3931
63.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3994
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15067
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15962
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14741
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2785
220.9 IPS |
|
|
Object Detection (HP)
|
100% |
3207
254.4 IPS |
|
|
Object Detection (Q)
|
91% |
2351
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
6271
74.5 IPS |
|
|
Face Detection (HP)
|
100% |
8980
106.7 IPS |
|
|
Face Detection (Q)
|
100% |
6206
73.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11487
88.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12962
99.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10460
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29896
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35855
46.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32749
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6505
240.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6765
249.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5492
202.8 IPS |
|
|
Text Classification (SP)
|
100% |
3226
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
5650
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5622
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
918
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
971
16.8 IPS |
