iPhone 16 Pro Max
Geekbench AI Score
4431
Single Precision Score
33084
Half Precision Score
44633
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | krdrever |
| Upload Date | August 28 2025 11:01 AM |
| Views | 10 |
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% |
2009
373.6 IPS |
|
|
Image Classification (HP)
|
100% |
14600
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
18509
3.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1764
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18108
293.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23394
379.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7775
9.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
145512
169.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
286148
335.4 IPS |
|
|
Object Detection (SP)
|
100% |
2271
180.1 IPS |
|
|
Object Detection (HP)
|
100% |
15657
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21373
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3542
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
39532
469.7 IPS |
|
|
Face Detection (Q)
|
100% |
52947
629.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8050
62.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94198
725.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
151575
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
20908
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244174
313.9 IPS |
|
|
Style Transfer (Q)
|
96% |
294356
379.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5262
194.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51482
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78104
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3707
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6170
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6215
8.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4014
69.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9033
155.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10332
178.6 IPS |
