iPhone 16 Pro Max
Geekbench AI Score
4337
Single Precision Score
30934
Half Precision Score
41483
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Kiruno |
| Upload Date | March 31 2025 08:03 PM |
| Views | 29 |
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
378.9 IPS |
|
|
Image Classification (HP)
|
100% |
15223
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20264
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1917
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18311
296.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23966
388.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8001
9.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
137814
160.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
283842
332.7 IPS |
|
|
Object Detection (SP)
|
100% |
2150
170.6 IPS |
|
|
Object Detection (HP)
|
100% |
16125
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22265
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3661
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
41220
489.8 IPS |
|
|
Face Detection (Q)
|
100% |
57274
680.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7585
58.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94377
727.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
158235
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
18137
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
243748
313.3 IPS |
|
|
Style Transfer (Q)
|
96% |
301437
389.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4943
182.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48690
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83015
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
2818
3.76 KIPS |
|
|
Text Classification (Q)
|
93% |
2024
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4168
71.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9956
171.5 IPS |
|
|
Machine Translation (Q)
|
98% |
10712
185.1 IPS |
