iPhone 16 Pro Max
Geekbench AI Score
4504
Single Precision Score
33668
Half Precision Score
45180
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 09 2025 04:55 PM |
| Views | 4 |
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% |
2028
377.2 IPS |
|
|
Image Classification (HP)
|
100% |
14543
2.70 KIPS |
|
|
Image Classification (Q)
|
97% |
17599
3.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1788
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18126
293.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23609
382.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8977
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
151476
176.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
288472
338.1 IPS |
|
|
Object Detection (SP)
|
100% |
2326
184.5 IPS |
|
|
Object Detection (HP)
|
100% |
15756
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21312
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3510
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
39369
467.8 IPS |
|
|
Face Detection (Q)
|
100% |
52932
629.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8036
61.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
93675
721.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
155839
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
21610
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244283
314.0 IPS |
|
|
Style Transfer (Q)
|
96% |
294511
380.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5184
191.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50163
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
75788
2.80 KIPS |
|
|
Text Classification (SP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6126
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6109
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3897
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10745
185.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12336
213.2 IPS |
