iPhone 15 Pro Max
Geekbench AI Score
5097
Single Precision Score
5906
Half Precision Score
5457
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | xgrommx |
| Upload Date | October 16 2025 12:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2065
384.0 IPS |
|
|
Image Classification (HP)
|
100% |
2028
377.2 IPS |
|
|
Image Classification (Q)
|
96% |
1546
288.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3646
59.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4142
67.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3994
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13140
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14486
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14204
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2374
188.3 IPS |
|
|
Object Detection (HP)
|
100% |
2703
214.4 IPS |
|
|
Object Detection (Q)
|
92% |
2532
202.1 IPS |
|
|
Face Detection (SP)
|
100% |
6226
74.0 IPS |
|
|
Face Detection (HP)
|
100% |
8588
102.0 IPS |
|
|
Face Detection (Q)
|
100% |
6939
82.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11008
84.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12162
93.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
11397
89.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26753
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31736
40.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31150
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5777
213.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5915
218.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5410
199.8 IPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5748
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5802
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1466
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1395
24.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1364
23.6 IPS |
