iPhone 15 Pro Max
Geekbench AI Score
5123
Single Precision Score
6007
Half Precision Score
5644
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 19 2025 07:21 AM |
| Views | 1 |
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% |
2203
409.8 IPS |
|
|
Image Classification (HP)
|
100% |
1990
370.1 IPS |
|
|
Image Classification (Q)
|
96% |
1736
324.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3647
59.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4263
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4065
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13197
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14461
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14202
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2440
193.6 IPS |
|
|
Object Detection (HP)
|
100% |
2939
233.1 IPS |
|
|
Object Detection (Q)
|
92% |
2475
197.6 IPS |
|
|
Face Detection (SP)
|
100% |
6401
76.1 IPS |
|
|
Face Detection (HP)
|
100% |
8551
101.6 IPS |
|
|
Face Detection (Q)
|
100% |
7026
83.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11113
85.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12311
94.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
11302
88.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27581
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32162
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31442
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5764
212.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5957
220.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5574
205.8 IPS |
|
|
Text Classification (SP)
|
100% |
3263
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5892
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5880
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1306
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1428
24.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1618
28.0 IPS |
