iPhone 15 Pro Max
Geekbench AI Score
2859
Single Precision Score
3347
Half Precision Score
3138
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 12:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
767
142.7 IPS |
|
|
Image Classification (HP)
|
100% |
802
149.2 IPS |
|
|
Image Classification (Q)
|
97% |
684
127.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2766
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2917
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3207
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7580
8.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
8461
9.87 IPS |
|
|
Pose Estimation (Q)
|
95% |
7911
9.27 IPS |
|
|
Object Detection (SP)
|
100% |
1424
113.0 IPS |
|
|
Object Detection (HP)
|
100% |
1627
129.0 IPS |
|
|
Object Detection (Q)
|
91% |
1099
87.8 IPS |
|
|
Face Detection (SP)
|
100% |
3947
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
5154
61.2 IPS |
|
|
Face Detection (Q)
|
100% |
4754
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7207
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9999
77.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7027
54.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23470
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
30152
38.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31249
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4020
148.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3179
117.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3213
118.7 IPS |
|
|
Text Classification (SP)
|
100% |
1375
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2407
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2395
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
432
7.45 IPS |
|
|
Machine Translation (HP)
|
100% |
461
7.94 IPS |
|
|
Machine Translation (Q)
|
98% |
605
10.5 IPS |
