iPhone 15 Pro Max
Geekbench AI Score
4869
Single Precision Score
6004
Half Precision Score
5353
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | January 31 2025 09:55 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2089
388.5 IPS |
|
|
Image Classification (HP)
|
100% |
2608
485.0 IPS |
|
|
Image Classification (Q)
|
97% |
2055
383.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2758
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3735
60.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3755
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13286
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14127
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13331
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2347
186.2 IPS |
|
|
Object Detection (HP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (Q)
|
91% |
2300
183.7 IPS |
|
|
Face Detection (SP)
|
100% |
6175
73.4 IPS |
|
|
Face Detection (HP)
|
100% |
8592
102.1 IPS |
|
|
Face Detection (Q)
|
100% |
6095
72.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10823
83.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11753
90.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
10295
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27024
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32560
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30000
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5998
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6262
231.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5116
188.9 IPS |
|
|
Text Classification (SP)
|
100% |
3188
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5659
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5520
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1207
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1418
24.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1538
26.6 IPS |
