iPhone 16 Pro Max
Geekbench AI Score
3808
Single Precision Score
29002
Half Precision Score
39062
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 08 2025 09:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1972
366.7 IPS |
|
|
Image Classification (HP)
|
100% |
14289
2.66 KIPS |
|
|
Image Classification (Q)
|
97% |
17653
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1851
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15346
248.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20808
337.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8122
9.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
121407
141.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
227317
266.4 IPS |
|
|
Object Detection (SP)
|
100% |
1964
155.8 IPS |
|
|
Object Detection (HP)
|
100% |
14181
1.12 KIPS |
|
|
Object Detection (Q)
|
91% |
17495
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2482
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
31200
370.7 IPS |
|
|
Face Detection (Q)
|
100% |
43563
517.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6752
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
83913
646.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
135035
1.06 KIPS |
|
|
Style Transfer (SP)
|
100% |
19319
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
205597
264.3 IPS |
|
|
Style Transfer (Q)
|
96% |
255768
330.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4820
178.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39278
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
63260
2.34 KIPS |
|
|
Text Classification (SP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (HP)
|
99% |
5163
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5155
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2365
40.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10219
176.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11541
199.4 IPS |
