iPhone 16 Pro Max
Geekbench AI Score
5735
Single Precision Score
6782
Half Precision Score
6041
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 08:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2991
556.3 IPS |
|
|
Image Classification (HP)
|
100% |
2825
525.4 IPS |
|
|
Image Classification (Q)
|
97% |
2866
534.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3379
54.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4428
71.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4382
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15671
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16500
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15491
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3172
251.6 IPS |
|
|
Object Detection (HP)
|
100% |
3492
277.0 IPS |
|
|
Object Detection (Q)
|
91% |
2855
228.1 IPS |
|
|
Face Detection (SP)
|
100% |
7625
90.6 IPS |
|
|
Face Detection (HP)
|
100% |
10669
126.8 IPS |
|
|
Face Detection (Q)
|
100% |
7153
85.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13296
102.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14370
110.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12542
98.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32943
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39417
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
35375
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7969
294.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8365
308.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6806
251.3 IPS |
|
|
Text Classification (SP)
|
100% |
3406
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5805
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5775
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
974
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
935
16.2 IPS |
