iPhone 15 Pro Max
Geekbench AI Score
5044
Single Precision Score
5931
Half Precision Score
5419
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 14 2025 01:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1871
348.0 IPS |
|
|
Image Classification (HP)
|
100% |
1902
353.7 IPS |
|
|
Image Classification (Q)
|
96% |
1427
266.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3771
61.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4222
68.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4090
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13565
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14656
17.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14345
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2380
188.8 IPS |
|
|
Object Detection (HP)
|
100% |
2934
232.7 IPS |
|
|
Object Detection (Q)
|
92% |
2419
193.1 IPS |
|
|
Face Detection (SP)
|
100% |
6350
75.4 IPS |
|
|
Face Detection (HP)
|
100% |
8435
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
7017
83.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11110
85.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12131
93.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
11278
88.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27716
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33226
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31421
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5689
210.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5888
217.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5486
202.6 IPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5639
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5718
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1299
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1382
23.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1383
23.9 IPS |
