iPhone 16 Pro Max
Geekbench AI Score
4443
Single Precision Score
32686
Half Precision Score
45155
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | pom8646 |
| Upload Date | August 24 2025 05:51 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% |
2084
387.6 IPS |
|
|
Image Classification (HP)
|
100% |
15231
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20714
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1956
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18332
297.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23932
388.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8477
9.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
142833
166.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
289853
339.7 IPS |
|
|
Object Detection (SP)
|
100% |
2267
179.8 IPS |
|
|
Object Detection (HP)
|
100% |
16237
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22121
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
3732
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
39677
471.5 IPS |
|
|
Face Detection (Q)
|
100% |
56938
676.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7797
60.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94167
725.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
157569
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
18749
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
243752
313.3 IPS |
|
|
Style Transfer (Q)
|
96% |
301213
388.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4895
180.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49432
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81194
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4897
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4560
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4238
73.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9751
168.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11083
191.5 IPS |
