iPhone 15 Pro Max
Geekbench AI Score
4919
Single Precision Score
5832
Half Precision Score
5675
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 08:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1894
352.2 IPS |
|
|
Image Classification (HP)
|
100% |
1806
335.9 IPS |
|
|
Image Classification (Q)
|
96% |
2084
389.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3639
59.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4232
68.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4099
66.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12754
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
14916
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14489
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2233
177.1 IPS |
|
|
Object Detection (HP)
|
100% |
2558
202.9 IPS |
|
|
Object Detection (Q)
|
92% |
2423
193.4 IPS |
|
|
Face Detection (SP)
|
100% |
6164
73.2 IPS |
|
|
Face Detection (HP)
|
100% |
8350
99.2 IPS |
|
|
Face Detection (Q)
|
100% |
6873
81.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10893
83.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12347
95.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11178
87.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26191
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32380
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32430
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5659
208.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6037
222.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5442
200.9 IPS |
|
|
Text Classification (SP)
|
100% |
3208
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5559
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5514
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1326
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1394
24.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1547
26.7 IPS |
