iPhone 16 Pro Max
Geekbench AI Score
5711
Single Precision Score
6808
Half Precision Score
6041
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dipsan |
| Upload Date | February 16 2025 03:06 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2916
542.3 IPS |
|
|
Image Classification (HP)
|
100% |
2954
549.4 IPS |
|
|
Image Classification (Q)
|
97% |
2798
522.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3363
54.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4402
71.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4356
70.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15665
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16473
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15510
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3177
252.0 IPS |
|
|
Object Detection (HP)
|
100% |
3681
292.0 IPS |
|
|
Object Detection (Q)
|
91% |
2865
228.9 IPS |
|
|
Face Detection (SP)
|
100% |
7690
91.4 IPS |
|
|
Face Detection (HP)
|
100% |
10570
125.6 IPS |
|
|
Face Detection (Q)
|
100% |
7076
84.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13331
102.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14443
111.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
12509
97.8 IPS |
|
|
Style Transfer (SP)
|
100% |
32648
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39049
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
36344
46.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7953
293.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8428
311.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6852
253.0 IPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5814
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5786
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
833
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
930
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
938
16.2 IPS |
