iPhone 15 Pro Max
Geekbench AI Score
3896
Single Precision Score
6983
Half Precision Score
5720
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | OliJWalker |
| Upload Date | January 06 2026 03:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1558
289.8 IPS |
|
|
Image Classification (HP)
|
100% |
2961
550.6 IPS |
|
|
Image Classification (Q)
|
96% |
2038
380.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1549
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2400
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3035
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8259
9.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
17738
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15129
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1700
134.8 IPS |
|
|
Object Detection (HP)
|
97% |
3268
260.1 IPS |
|
|
Object Detection (Q)
|
94% |
2356
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
3157
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6794
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3867
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7013
54.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12776
98.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8993
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21893
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34156
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28257
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4903
181.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5704
210.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4394
162.2 IPS |
|
|
Text Classification (SP)
|
100% |
3203
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5480
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5528
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3128
53.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7222
124.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7131
123.2 IPS |
