iPhone 16 Pro Max
Geekbench AI Score
4430
Single Precision Score
33147
Half Precision Score
45051
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 02:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2002
372.3 IPS |
|
|
Image Classification (HP)
|
100% |
13912
2.59 KIPS |
|
|
Image Classification (Q)
|
97% |
18356
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1791
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18114
293.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23619
382.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8992
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
150113
175.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
288468
338.1 IPS |
|
|
Object Detection (SP)
|
100% |
2323
184.3 IPS |
|
|
Object Detection (HP)
|
100% |
15540
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
20950
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3456
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
39492
469.3 IPS |
|
|
Face Detection (Q)
|
100% |
54155
643.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7907
60.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
93146
717.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
152237
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
20496
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
242605
311.9 IPS |
|
|
Style Transfer (Q)
|
96% |
294348
379.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5241
193.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50372
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79406
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
3316
4.43 KIPS |
|
|
Text Classification (HP)
|
100% |
5707
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5638
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3995
68.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10619
182.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12100
209.1 IPS |
