iPhone 14 Pro Max
Geekbench AI Score
3519
Single Precision Score
23457
Half Precision Score
26867
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RDNewman |
| Upload Date | April 20 2025 02:19 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1432
266.4 IPS |
|
|
Image Classification (HP)
|
100% |
10376
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
12135
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14652
237.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19332
313.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6948
8.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
99724
116.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104377
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.0 IPS |
|
|
Object Detection (HP)
|
100% |
13046
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14666
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
2969
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
31417
373.3 IPS |
|
|
Face Detection (Q)
|
100% |
40319
479.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6019
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
74952
577.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
95290
745.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18878
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
178794
229.8 IPS |
|
|
Style Transfer (Q)
|
96% |
180126
232.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4196
154.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32284
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40094
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
2696
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
2532
3.38 KIPS |
|
|
Text Classification (Q)
|
93% |
2370
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3471
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7410
127.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8299
143.4 IPS |
