iPhone 15 Pro Max
Geekbench AI Score
3936
Single Precision Score
6837
Half Precision Score
5594
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | aliensporebomb |
| Upload Date | December 21 2024 02:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1697
315.6 IPS |
|
|
Image Classification (HP)
|
100% |
2937
546.1 IPS |
|
|
Image Classification (Q)
|
96% |
2014
376.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2411
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3067
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8015
9.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
16403
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14240
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1787
141.8 IPS |
|
|
Object Detection (HP)
|
97% |
3325
264.7 IPS |
|
|
Object Detection (Q)
|
94% |
2352
187.4 IPS |
|
|
Face Detection (SP)
|
100% |
3157
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6779
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3885
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6972
53.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13461
104.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9339
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21219
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32653
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27468
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4954
182.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5746
212.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4362
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
3203
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5561
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5529
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3115
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6074
105.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6045
104.5 IPS |
