iPhone 16 Pro Max
Geekbench AI Score
4611
Single Precision Score
32552
Half Precision Score
44855
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 07 2025 01:13 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1982
368.6 IPS |
|
|
Image Classification (HP)
|
100% |
14921
2.77 KIPS |
|
|
Image Classification (Q)
|
97% |
18849
3.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1911
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18266
296.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23861
386.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9346
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
154865
180.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
294236
344.9 IPS |
|
|
Object Detection (SP)
|
100% |
2196
174.2 IPS |
|
|
Object Detection (HP)
|
100% |
16168
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22822
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3674
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
41209
489.6 IPS |
|
|
Face Detection (Q)
|
100% |
56285
668.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8036
61.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95204
733.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
159808
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24962
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245704
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
303580
391.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5810
214.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50877
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83579
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4287
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4239
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3821
65.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9311
160.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11284
195.0 IPS |
