iPhone 15 Pro Max
Geekbench AI Score
3562
Single Precision Score
25373
Half Precision Score
34998
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | matt_johnson3 |
| Upload Date | January 02 2026 06:01 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1548
287.9 IPS |
|
|
Image Classification (HP)
|
100% |
11257
2.09 KIPS |
|
|
Image Classification (Q)
|
97% |
14082
2.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1503
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16377
265.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21263
344.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6771
7.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
101847
118.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
200006
234.4 IPS |
|
|
Object Detection (SP)
|
100% |
1609
127.7 IPS |
|
|
Object Detection (HP)
|
100% |
12062
956.7 IPS |
|
|
Object Detection (Q)
|
91% |
16014
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
2881
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
34480
409.7 IPS |
|
|
Face Detection (Q)
|
100% |
49989
594.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5720
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
74009
570.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
119857
937.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18852
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
201052
258.5 IPS |
|
|
Style Transfer (Q)
|
96% |
238188
307.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4239
156.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28933
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54207
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5660
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5700
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3087
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5813
100.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6520
112.7 IPS |
