iPhone 16 Pro Max
Geekbench AI Score
6078
Single Precision Score
6992
Half Precision Score
6632
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 25 2025 01:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2972
552.7 IPS |
|
|
Image Classification (HP)
|
100% |
2845
529.2 IPS |
|
|
Image Classification (Q)
|
96% |
3074
574.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4340
70.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4850
78.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4686
76.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15298
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16205
18.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
15814
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
3316
263.0 IPS |
|
|
Object Detection (HP)
|
100% |
3413
270.7 IPS |
|
|
Object Detection (Q)
|
92% |
3146
251.1 IPS |
|
|
Face Detection (SP)
|
100% |
7581
90.1 IPS |
|
|
Face Detection (HP)
|
100% |
10649
126.5 IPS |
|
|
Face Detection (Q)
|
100% |
8410
99.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13311
102.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14816
114.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
13316
104.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32769
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37296
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
37333
48.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7971
294.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8260
305.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7406
273.5 IPS |
|
|
Text Classification (SP)
|
100% |
3371
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5860
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5839
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1184
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1286
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1271
22.0 IPS |
