iPhone 16 Pro Max
Geekbench AI Score
4617
Single Precision Score
33375
Half Precision Score
46184
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 26 2025 08:56 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2063
383.7 IPS |
|
|
Image Classification (HP)
|
100% |
15274
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20370
3.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1968
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18274
296.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23959
388.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9202
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
153470
179.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
290699
340.7 IPS |
|
|
Object Detection (SP)
|
100% |
2333
185.1 IPS |
|
|
Object Detection (HP)
|
100% |
16523
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22722
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3863
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
41102
488.4 IPS |
|
|
Face Detection (Q)
|
100% |
56820
675.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8294
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95585
736.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
162228
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
20290
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245526
315.6 IPS |
|
|
Style Transfer (Q)
|
96% |
304240
392.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5478
202.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51430
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86119
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3406
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4785
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5005
6.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4172
71.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10209
175.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11332
195.8 IPS |
