iPhone 16 Pro Max
Geekbench AI Score
4591
Single Precision Score
32835
Half Precision Score
45162
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | bmol |
| Upload Date | April 02 2025 01:51 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2076
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
15207
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20259
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1978
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18280
296.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24175
391.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9012
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
153488
179.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
291564
341.7 IPS |
|
|
Object Detection (SP)
|
100% |
2316
183.7 IPS |
|
|
Object Detection (HP)
|
100% |
16157
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22507
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3884
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
41175
489.2 IPS |
|
|
Face Detection (Q)
|
100% |
58384
693.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8173
63.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95437
735.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
159684
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19713
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245093
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
303002
391.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5407
199.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49979
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83253
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4338
5.79 KIPS |
|
|
Text Classification (Q)
|
93% |
4313
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4237
73.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10120
174.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10828
187.1 IPS |
