iPhone 16 Pro Max
Geekbench AI Score
4616
Single Precision Score
33348
Half Precision Score
45762
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ranzi |
| Upload Date | June 26 2025 07:23 PM |
| Views | 5 |
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% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
15246
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20207
3.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18340
297.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24169
391.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9220
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
153386
179.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
291621
341.8 IPS |
|
|
Object Detection (SP)
|
100% |
2314
183.5 IPS |
|
|
Object Detection (HP)
|
100% |
16163
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
23268
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
3890
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
41138
488.8 IPS |
|
|
Face Detection (Q)
|
100% |
58919
700.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8176
63.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95053
732.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
159531
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19947
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245227
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
303058
391.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5511
203.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50798
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84289
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4905
6.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4417
5.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4227
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10271
176.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11461
198.1 IPS |
