iPhone 14 Pro Max
Geekbench AI Score
3380
Single Precision Score
22719
Half Precision Score
25611
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | January 26 2026 05:23 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone 14 Pro Max |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1306
242.9 IPS |
|
|
Image Classification (HP)
|
100% |
9323
1.73 KIPS |
|
|
Image Classification (Q)
|
97% |
10857
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1350
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15997
259.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18980
307.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6562
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
99569
116.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
102332
119.9 IPS |
|
|
Object Detection (SP)
|
100% |
1446
114.7 IPS |
|
|
Object Detection (HP)
|
100% |
12489
990.6 IPS |
|
|
Object Detection (Q)
|
91% |
13935
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
26419
313.9 IPS |
|
|
Face Detection (Q)
|
100% |
37543
446.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5768
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
72895
561.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
90840
710.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18587
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
170986
219.8 IPS |
|
|
Style Transfer (Q)
|
96% |
169243
218.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3842
141.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31771
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35195
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2777
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2684
3.58 KIPS |
|
|
Text Classification (Q)
|
93% |
2567
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3344
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7036
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7925
136.9 IPS |
