iPhone 15 Pro Max
Geekbench AI Score
3933
Single Precision Score
6796
Half Precision Score
5554
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | pakitt |
| Upload Date | October 26 2024 04:15 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1714
318.7 IPS |
|
|
Image Classification (HP)
|
100% |
2906
540.5 IPS |
|
|
Image Classification (Q)
|
96% |
1996
372.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1608
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3076
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8017
9.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
16175
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14011
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1780
141.2 IPS |
|
|
Object Detection (HP)
|
97% |
3352
266.8 IPS |
|
|
Object Detection (Q)
|
94% |
2337
186.3 IPS |
|
|
Face Detection (SP)
|
100% |
3191
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6733
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
3843
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7001
53.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13421
103.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9189
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20876
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32214
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27187
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4860
179.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5805
214.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4407
162.7 IPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5545
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5465
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3116
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6041
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6010
103.9 IPS |
