iPhone 15 Pro Max
Geekbench AI Score
3967
Single Precision Score
6907
Half Precision Score
5624
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | TSMusik |
| Upload Date | January 29 2025 05:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1676
311.7 IPS |
|
|
Image Classification (HP)
|
100% |
2976
553.5 IPS |
|
|
Image Classification (Q)
|
96% |
2027
378.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3089
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8259
9.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
16819
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14472
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1800
142.8 IPS |
|
|
Object Detection (HP)
|
97% |
3351
266.8 IPS |
|
|
Object Detection (Q)
|
94% |
2343
186.7 IPS |
|
|
Face Detection (SP)
|
100% |
3174
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6793
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3890
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7084
54.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13636
105.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9353
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21493
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32853
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27440
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5058
186.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5843
215.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4393
162.2 IPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5698
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5606
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3106
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6059
104.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6065
104.8 IPS |
