iPhone 16 Pro Max
Geekbench AI Score
4319
Single Precision Score
32030
Half Precision Score
42768
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Kiruno |
| Upload Date | March 25 2025 01:09 PM |
| Views | 32 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2037
378.8 IPS |
|
|
Image Classification (HP)
|
100% |
15190
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20534
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1891
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18248
295.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24286
393.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8021
9.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
138777
161.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
277179
324.9 IPS |
|
|
Object Detection (SP)
|
100% |
2209
175.2 IPS |
|
|
Object Detection (HP)
|
100% |
16323
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
23101
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
3523
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
41205
489.6 IPS |
|
|
Face Detection (Q)
|
100% |
57079
678.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7598
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94238
726.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
159352
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
18092
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
243992
313.7 IPS |
|
|
Style Transfer (Q)
|
96% |
301048
388.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4814
177.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50618
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81834
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3364
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
3761
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
2590
3.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4225
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10038
172.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11048
190.9 IPS |
