iPhone 16 Pro Max
Geekbench AI Score
4408
Single Precision Score
33429
Half Precision Score
45049
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 04:30 PM |
| Views | 1 |
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% |
1983
368.7 IPS |
|
|
Image Classification (HP)
|
100% |
14247
2.65 KIPS |
|
|
Image Classification (Q)
|
97% |
18554
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1744
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18082
293.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23333
378.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8472
9.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
147883
172.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
288474
338.1 IPS |
|
|
Object Detection (SP)
|
100% |
2305
182.8 IPS |
|
|
Object Detection (HP)
|
100% |
15507
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21017
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3511
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
39424
468.4 IPS |
|
|
Face Detection (Q)
|
100% |
53095
630.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7853
60.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
93997
724.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
148557
1.16 KIPS |
|
|
Style Transfer (SP)
|
100% |
21140
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
243892
313.5 IPS |
|
|
Style Transfer (Q)
|
96% |
295599
381.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5365
198.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50872
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78509
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
3307
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
5874
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5740
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3972
68.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10925
188.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12484
215.7 IPS |
