iPhone 16 Pro Max
Geekbench AI Score
4443
Single Precision Score
33220
Half Precision Score
44769
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | DmytroVlasenko |
| Upload Date | September 06 2025 08:55 PM |
| Views | 22 |
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% |
1990
370.0 IPS |
|
|
Image Classification (HP)
|
100% |
14700
2.73 KIPS |
|
|
Image Classification (Q)
|
97% |
19626
3.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1746
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18140
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23672
383.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8465
9.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
145729
170.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
286801
336.1 IPS |
|
|
Object Detection (SP)
|
100% |
2268
179.9 IPS |
|
|
Object Detection (HP)
|
100% |
15686
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21305
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3518
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
39850
473.5 IPS |
|
|
Face Detection (Q)
|
100% |
52577
624.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7979
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94231
726.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
155779
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
21140
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
243930
313.6 IPS |
|
|
Style Transfer (Q)
|
96% |
295873
381.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5193
191.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51108
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
75449
2.79 KIPS |
|
|
Text Classification (SP)
|
100% |
3682
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6320
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6104
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3962
68.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9077
156.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10209
176.4 IPS |
