iPhone 16 Pro Max
Geekbench AI Score
4620
Single Precision Score
32538
Half Precision Score
45462
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | January 31 2025 01:02 AM |
| Views | 5 |
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% |
1996
371.3 IPS |
|
|
Image Classification (HP)
|
100% |
14972
2.78 KIPS |
|
|
Image Classification (Q)
|
97% |
21002
3.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1964
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18362
297.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24122
391.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9400
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
154936
180.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
293586
344.1 IPS |
|
|
Object Detection (SP)
|
100% |
2187
173.5 IPS |
|
|
Object Detection (HP)
|
100% |
16057
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
22784
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3675
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
41127
488.7 IPS |
|
|
Face Detection (Q)
|
100% |
57509
683.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8131
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95355
734.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
159740
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24793
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244672
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
300234
387.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5837
215.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50224
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81837
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3354
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4381
5.85 KIPS |
|
|
Text Classification (Q)
|
93% |
4435
5.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3796
65.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9212
158.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11118
192.1 IPS |
