iPhone 15 Pro Max
Geekbench AI Score
1394
Single Precision Score
2282
Half Precision Score
1990
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 04:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1378
256.4 IPS |
|
|
Image Classification (HP)
|
100% |
1746
324.7 IPS |
|
|
Image Classification (Q)
|
96% |
1512
282.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1029
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
663
10.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1006
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2322
2.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4447
5.19 IPS |
|
|
Pose Estimation (Q)
|
95% |
6654
7.80 IPS |
|
|
Object Detection (SP)
|
100% |
524
41.6 IPS |
|
|
Object Detection (HP)
|
97% |
829
66.0 IPS |
|
|
Object Detection (Q)
|
94% |
904
72.1 IPS |
|
|
Face Detection (SP)
|
100% |
1560
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
1670
19.8 IPS |
|
|
Face Detection (Q)
|
100% |
1329
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2098
16.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3940
30.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
2810
22.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8617
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15544
20.0 IPS |
|
|
Style Transfer (Q)
|
96% |
6748
8.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
988
36.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1640
60.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1933
71.4 IPS |
|
|
Text Classification (SP)
|
100% |
607
810.0 IPS |
|
|
Text Classification (HP)
|
99% |
4328
5.78 KIPS |
|
|
Text Classification (Q)
|
93% |
2141
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1238
21.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1024
17.7 IPS |
