iPhone 15 Pro Max
Geekbench AI Score
3911
Single Precision Score
4660
Half Precision Score
3839
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | SilentGSG9 |
| Upload Date | August 21 2024 07:31 AM |
| Views | 6 |
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% |
989
183.8 IPS |
|
|
Image Classification (HP)
|
100% |
1220
226.8 IPS |
|
|
Image Classification (Q)
|
99% |
1367
255.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2891
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3856
62.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
3842
62.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14931
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15733
18.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
14496
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1432
113.6 IPS |
|
|
Object Detection (HP)
|
100% |
1529
121.3 IPS |
|
|
Object Detection (Q)
|
91% |
1461
116.7 IPS |
|
|
Face Detection (SP)
|
100% |
6309
75.0 IPS |
|
|
Face Detection (HP)
|
100% |
8412
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
6049
71.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11915
91.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12963
99.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
1841
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28437
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34023
43.7 IPS |
|
|
Style Transfer (Q)
|
100% |
33191
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4646
171.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3849
142.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3733
138.3 IPS |
|
|
Text Classification (SP)
|
100% |
3226
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
5568
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5564
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
428
7.37 IPS |
|
|
Machine Translation (HP)
|
100% |
537
9.25 IPS |
|
|
Machine Translation (Q)
|
98% |
815
14.1 IPS |
