iPhone 16 Pro Max
Geekbench AI Score
4628
Single Precision Score
32933
Half Precision Score
46168
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 27 2025 10:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2070
384.9 IPS |
|
|
Image Classification (HP)
|
100% |
15123
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
21013
3.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1964
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18240
295.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23882
387.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9337
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
152892
178.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
291370
341.5 IPS |
|
|
Object Detection (SP)
|
100% |
2331
184.9 IPS |
|
|
Object Detection (HP)
|
100% |
16168
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22416
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3873
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
40806
484.9 IPS |
|
|
Face Detection (Q)
|
100% |
57624
684.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8220
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94945
731.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
160134
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20248
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245260
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
301053
388.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5528
204.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50259
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84724
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4657
6.22 KIPS |
|
|
Text Classification (Q)
|
93% |
4978
6.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4231
72.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9899
170.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11458
198.0 IPS |
