iPhone 15 Pro Max
Geekbench AI Score
5067
Single Precision Score
6068
Half Precision Score
5785
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | OliJWalker |
| Upload Date | January 06 2026 03:12 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2117
393.6 IPS |
|
|
Image Classification (HP)
|
100% |
2225
413.8 IPS |
|
|
Image Classification (Q)
|
94% |
2183
408.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3736
60.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4243
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4161
67.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13238
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15133
17.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
14632
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2356
186.9 IPS |
|
|
Object Detection (HP)
|
100% |
2594
205.8 IPS |
|
|
Object Detection (Q)
|
90% |
2498
199.8 IPS |
|
|
Face Detection (SP)
|
100% |
6558
77.9 IPS |
|
|
Face Detection (HP)
|
100% |
9241
109.8 IPS |
|
|
Face Detection (Q)
|
100% |
7206
85.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10974
84.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12232
94.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
11352
88.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27290
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32760
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32507
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5741
212.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5998
221.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5534
204.3 IPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5480
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5389
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1251
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1502
25.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1595
27.6 IPS |
