iPhone 15 Pro Max
Geekbench AI Score
3824
Single Precision Score
6801
Half Precision Score
5535
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | caramelbeard |
| Upload Date | May 07 2025 02:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1687
313.6 IPS |
|
|
Image Classification (HP)
|
100% |
2979
554.1 IPS |
|
|
Image Classification (Q)
|
96% |
2046
382.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1629
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2998
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7556
8.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
15431
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13339
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1706
135.3 IPS |
|
|
Object Detection (HP)
|
97% |
3295
262.3 IPS |
|
|
Object Detection (Q)
|
94% |
2317
184.7 IPS |
|
|
Face Detection (SP)
|
100% |
3078
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6587
78.3 IPS |
|
|
Face Detection (Q)
|
100% |
3684
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6609
50.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12482
96.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8595
67.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19918
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32083
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26231
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4615
170.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5717
211.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4346
160.5 IPS |
|
|
Text Classification (SP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5933
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5898
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3110
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6690
115.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6696
115.7 IPS |
