iPhone 16 Pro Max
Geekbench AI Score
4517
Single Precision Score
32953
Half Precision Score
45654
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RGPphotog |
| Upload Date | March 02 2025 06:12 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
2017
375.1 IPS |
|
|
Image Classification (HP)
|
100% |
15276
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
19941
3.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1951
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18258
296.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24184
392.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8991
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
154957
180.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
293630
344.2 IPS |
|
|
Object Detection (SP)
|
100% |
2178
172.8 IPS |
|
|
Object Detection (HP)
|
100% |
16234
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22504
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3624
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
41200
489.5 IPS |
|
|
Face Detection (Q)
|
100% |
56478
671.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7966
61.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
96333
742.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
160619
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24492
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245927
316.1 IPS |
|
|
Style Transfer (Q)
|
96% |
303124
391.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5024
185.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52194
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86269
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3463
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4564
6.09 KIPS |
|
|
Text Classification (Q)
|
93% |
4644
6.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3736
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9256
159.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11205
193.6 IPS |
