iPhone 16 Pro Max
Geekbench AI Score
6140
Single Precision Score
7014
Half Precision Score
6731
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | bmol |
| Upload Date | April 02 2025 01:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2838
527.8 IPS |
|
|
Image Classification (HP)
|
100% |
2794
519.5 IPS |
|
|
Image Classification (Q)
|
96% |
3112
581.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4466
72.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4922
79.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4760
77.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15644
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16383
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
15957
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3218
255.3 IPS |
|
|
Object Detection (HP)
|
100% |
3461
274.5 IPS |
|
|
Object Detection (Q)
|
92% |
3153
251.6 IPS |
|
|
Face Detection (SP)
|
100% |
7778
92.4 IPS |
|
|
Face Detection (HP)
|
100% |
10588
125.8 IPS |
|
|
Face Detection (Q)
|
100% |
8586
102.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13627
105.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14512
111.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
13855
108.3 IPS |
|
|
Style Transfer (SP)
|
100% |
33519
43.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37868
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
37754
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8053
297.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8455
312.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7549
278.7 IPS |
|
|
Text Classification (SP)
|
100% |
3369
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5905
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5898
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1239
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1273
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1281
22.1 IPS |
