iPhone 15 Pro Max
Geekbench AI Score
3744
Single Precision Score
6861
Half Precision Score
5586
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 08:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1570
292.0 IPS |
|
|
Image Classification (HP)
|
100% |
2991
556.3 IPS |
|
|
Image Classification (Q)
|
96% |
2052
383.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1596
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2486
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3019
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7333
8.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
16021
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13733
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1624
128.8 IPS |
|
|
Object Detection (HP)
|
97% |
3230
257.2 IPS |
|
|
Object Detection (Q)
|
94% |
2323
185.2 IPS |
|
|
Face Detection (SP)
|
100% |
2975
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
6625
78.7 IPS |
|
|
Face Detection (Q)
|
100% |
3747
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6612
50.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12712
98.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8830
69.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20271
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32696
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26835
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4491
165.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5619
207.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4342
160.3 IPS |
|
|
Text Classification (SP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5451
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5408
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3125
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7130
123.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7182
124.1 IPS |
