iPhone 15 Pro Max
Geekbench AI Score
3929
Single Precision Score
6796
Half Precision Score
5580
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ethanhsiao |
| Upload Date | January 09 2025 03:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1708
317.7 IPS |
|
|
Image Classification (HP)
|
100% |
2924
543.7 IPS |
|
|
Image Classification (Q)
|
96% |
2014
376.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3079
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8121
9.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
16425
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14313
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1785
141.6 IPS |
|
|
Object Detection (HP)
|
97% |
3167
252.1 IPS |
|
|
Object Detection (Q)
|
94% |
2346
187.0 IPS |
|
|
Face Detection (SP)
|
100% |
3104
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6647
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3841
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6928
53.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13370
103.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9209
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21002
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32271
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27230
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4929
182.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5826
215.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4320
159.5 IPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5679
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5614
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3099
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6036
104.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6021
104.0 IPS |
