iPhone 14 Pro Max
Geekbench AI Score
3344
Single Precision Score
22560
Half Precision Score
25879
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 05:04 AM |
| Views | 6 |
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% |
1328
246.9 IPS |
|
|
Image Classification (HP)
|
100% |
9593
1.78 KIPS |
|
|
Image Classification (Q)
|
97% |
11497
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1362
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14273
231.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19010
308.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6214
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
103160
120.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
103218
121.0 IPS |
|
|
Object Detection (SP)
|
100% |
1445
114.6 IPS |
|
|
Object Detection (HP)
|
100% |
12150
963.7 IPS |
|
|
Object Detection (Q)
|
91% |
14039
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3066
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
29903
355.3 IPS |
|
|
Face Detection (Q)
|
100% |
39336
467.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5727
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
70382
542.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
87212
681.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18182
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
168753
216.9 IPS |
|
|
Style Transfer (Q)
|
96% |
170910
220.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3787
139.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31603
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34570
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2663
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2511
3.35 KIPS |
|
|
Text Classification (Q)
|
93% |
2547
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3348
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7063
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8242
142.4 IPS |
