iPhone 16 Pro Max
Geekbench AI Score
4627
Single Precision Score
33108
Half Precision Score
44648
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 07 2025 10:38 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2030
377.5 IPS |
|
|
Image Classification (HP)
|
100% |
14050
2.61 KIPS |
|
|
Image Classification (Q)
|
97% |
18515
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1828
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18129
293.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23707
384.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9337
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
152291
177.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
288828
338.5 IPS |
|
|
Object Detection (SP)
|
100% |
2342
185.8 IPS |
|
|
Object Detection (HP)
|
100% |
15721
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21300
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3675
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
39565
470.1 IPS |
|
|
Face Detection (Q)
|
100% |
53154
631.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8251
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94091
724.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
152373
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
21946
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
244394
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
294352
379.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5533
204.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51037
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78015
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3679
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6098
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6126
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4099
70.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9165
157.9 IPS |
|
|
Machine Translation (Q)
|
98% |
10233
176.8 IPS |
