iPhone 16 Pro Max
Geekbench AI Score
4393
Single Precision Score
32854
Half Precision Score
46170
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Devon25836 |
| Upload Date | December 12 2024 04:26 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1989
369.9 IPS |
|
|
Image Classification (HP)
|
100% |
15398
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
20753
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1893
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18130
293.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24073
390.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8291
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
150570
175.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
292742
343.1 IPS |
|
|
Object Detection (SP)
|
100% |
2105
167.0 IPS |
|
|
Object Detection (HP)
|
100% |
16240
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22429
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3399
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
40323
479.1 IPS |
|
|
Face Detection (Q)
|
100% |
57918
688.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7532
58.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94564
728.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
160261
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23127
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245183
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
302211
390.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5311
196.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50316
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84026
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4724
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4963
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3786
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9660
166.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11471
198.2 IPS |
