iPhone 15 Pro Max
Geekbench AI Score
1590
Single Precision Score
1785
Half Precision Score
1693
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 03:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
599
111.4 IPS |
|
|
Image Classification (HP)
|
100% |
652
121.2 IPS |
|
|
Image Classification (Q)
|
96% |
545
101.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
844
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
863
14.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
827
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2737
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3131
3.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
3084
3.61 IPS |
|
|
Object Detection (SP)
|
100% |
615
48.8 IPS |
|
|
Object Detection (HP)
|
100% |
640
50.8 IPS |
|
|
Object Detection (Q)
|
92% |
597
47.7 IPS |
|
|
Face Detection (SP)
|
100% |
2239
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
1932
23.0 IPS |
|
|
Face Detection (Q)
|
100% |
1618
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2376
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2987
23.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
2762
21.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6073
7.81 IPS |
|
|
Style Transfer (HP)
|
100% |
6804
8.75 IPS |
|
|
Style Transfer (Q)
|
96% |
6679
8.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1376
50.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1425
52.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1543
57.0 IPS |
|
|
Text Classification (SP)
|
100% |
2930
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5289
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5247
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
986
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
970
16.8 IPS |
