iPhone 16 Pro Max
Geekbench AI Score
4666
Single Precision Score
33432
Half Precision Score
46672
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Testify |
| Upload Date | August 25 2025 09:35 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2075
385.9 IPS |
|
|
Image Classification (HP)
|
100% |
15432
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
21193
3.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1984
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18416
298.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24158
391.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9443
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
153694
179.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
292371
342.7 IPS |
|
|
Object Detection (SP)
|
100% |
2352
186.6 IPS |
|
|
Object Detection (HP)
|
100% |
16440
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22686
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3865
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
41221
489.8 IPS |
|
|
Face Detection (Q)
|
100% |
58859
699.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8407
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95438
735.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
164224
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
20701
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245185
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
307836
397.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5598
206.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51592
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84309
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3388
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4728
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4965
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4196
72.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10325
177.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11595
200.4 IPS |
