iPhone 16 Pro Max
Geekbench AI Score
4327
Single Precision Score
33152
Half Precision Score
44964
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Outrun9430 |
| Upload Date | October 05 2025 03:51 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1912
355.7 IPS |
|
|
Image Classification (HP)
|
100% |
14746
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
19511
3.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1692
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18090
293.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23493
380.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8125
9.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
139349
162.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
274783
322.1 IPS |
|
|
Object Detection (SP)
|
100% |
2255
178.9 IPS |
|
|
Object Detection (HP)
|
100% |
15872
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21431
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3393
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
40167
477.3 IPS |
|
|
Face Detection (Q)
|
100% |
53497
635.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7567
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
93778
722.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
150102
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
20251
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244407
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
296393
382.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5000
184.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51337
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80474
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3814
5.09 KIPS |
|
|
Text Classification (HP)
|
99% |
6434
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6537
8.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3917
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8939
154.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9995
172.7 IPS |
