iPhone 16 Pro Max
Geekbench AI Score
4285
Single Precision Score
33079
Half Precision Score
44582
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | June 11 2025 06:09 PM |
| Views | 7 |
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% |
1990
370.1 IPS |
|
|
Image Classification (HP)
|
100% |
14410
2.68 KIPS |
|
|
Image Classification (Q)
|
97% |
17893
3.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1763
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18123
293.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
22540
365.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8096
9.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
137349
160.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
270082
316.6 IPS |
|
|
Object Detection (SP)
|
100% |
2207
175.0 IPS |
|
|
Object Detection (HP)
|
100% |
15447
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21150
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3400
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
39755
472.4 IPS |
|
|
Face Detection (Q)
|
100% |
53127
631.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7441
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
93584
721.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
154402
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
20102
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
243856
313.5 IPS |
|
|
Style Transfer (Q)
|
96% |
297642
384.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4900
180.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50027
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76412
2.82 KIPS |
|
|
Text Classification (SP)
|
100% |
3364
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5800
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5772
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3972
68.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10755
185.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12505
216.1 IPS |
