iPhone 15 Pro Max
Geekbench AI Score
5008
Single Precision Score
5827
Half Precision Score
5638
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Vicedriver |
| Upload Date | January 04 2026 05:20 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1874
348.6 IPS |
|
|
Image Classification (HP)
|
100% |
1741
323.7 IPS |
|
|
Image Classification (Q)
|
96% |
2043
381.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3764
61.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4264
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4050
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13296
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15275
17.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
14747
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2268
179.9 IPS |
|
|
Object Detection (HP)
|
100% |
2585
205.0 IPS |
|
|
Object Detection (Q)
|
92% |
2476
197.6 IPS |
|
|
Face Detection (SP)
|
100% |
6215
73.8 IPS |
|
|
Face Detection (HP)
|
100% |
8553
101.6 IPS |
|
|
Face Detection (Q)
|
100% |
6933
82.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10889
83.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12288
94.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
11359
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27356
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33036
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31930
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5802
214.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6037
222.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5598
206.7 IPS |
|
|
Text Classification (SP)
|
100% |
3269
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5389
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5570
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1331
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1363
23.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1371
23.7 IPS |
