iPhone 15 Pro Max
Geekbench AI Score
3674
Single Precision Score
6801
Half Precision Score
5574
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 07:10 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% |
1564
290.9 IPS |
|
|
Image Classification (HP)
|
100% |
2910
541.2 IPS |
|
|
Image Classification (Q)
|
96% |
2039
380.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1516
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2952
47.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6999
8.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
15599
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13515
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1609
127.6 IPS |
|
|
Object Detection (HP)
|
97% |
3234
257.4 IPS |
|
|
Object Detection (Q)
|
94% |
2308
184.0 IPS |
|
|
Face Detection (SP)
|
100% |
2900
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
6598
78.4 IPS |
|
|
Face Detection (Q)
|
100% |
3716
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6526
50.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12479
96.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8720
68.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19711
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32427
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26683
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4445
164.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5620
207.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4307
159.1 IPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5599
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5655
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3160
54.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7387
127.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7332
126.7 IPS |
