iPhone 16 Pro Max
Geekbench AI Score
4293
Single Precision Score
33032
Half Precision Score
44748
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | randymassey |
| Upload Date | October 05 2025 07:05 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2035
378.5 IPS |
|
|
Image Classification (HP)
|
100% |
14840
2.76 KIPS |
|
|
Image Classification (Q)
|
97% |
18855
3.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1782
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18203
295.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23585
382.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8300
9.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
145070
169.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
275231
322.6 IPS |
|
|
Object Detection (SP)
|
100% |
2263
179.5 IPS |
|
|
Object Detection (HP)
|
100% |
15902
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21321
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3380
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
39887
473.9 IPS |
|
|
Face Detection (Q)
|
100% |
53978
641.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6717
51.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
93329
719.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
156354
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
19770
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
242991
312.4 IPS |
|
|
Style Transfer (Q)
|
96% |
296511
382.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4875
180.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51280
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78580
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
3722
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6252
8.34 KIPS |
|
|
Text Classification (Q)
|
93% |
6293
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3834
66.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8559
147.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9969
172.3 IPS |
