iPhone 14 Pro Max
Geekbench AI Score
3541
Single Precision Score
23557
Half Precision Score
26961
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Mobilexperts |
| Upload Date | May 29 2025 01:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1431
266.0 IPS |
|
|
Image Classification (HP)
|
100% |
10434
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
12566
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1401
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16080
260.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19162
310.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7014
8.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
102476
119.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
103652
121.5 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.8 IPS |
|
|
Object Detection (HP)
|
100% |
12668
1.00 KIPS |
|
|
Object Detection (Q)
|
91% |
14293
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3077
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
31432
373.5 IPS |
|
|
Face Detection (Q)
|
100% |
39432
468.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6067
46.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
75072
578.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
95847
749.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19061
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
163659
210.4 IPS |
|
|
Style Transfer (Q)
|
96% |
179524
231.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4142
152.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31523
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37312
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2678
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
2641
3.52 KIPS |
|
|
Text Classification (Q)
|
93% |
2673
3.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3559
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7516
129.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8408
145.3 IPS |
