iPhone 14 Pro Max
Geekbench AI Score
3520
Single Precision Score
19918
Half Precision Score
22434
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 08:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1443
268.4 IPS |
|
|
Image Classification (HP)
|
100% |
10361
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
12609
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11850
192.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13692
222.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6904
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
100448
117.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
102223
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
100% |
12761
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14910
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
2975
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
29904
355.3 IPS |
|
|
Face Detection (Q)
|
100% |
38232
454.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6282
48.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
75900
584.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
96618
755.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18802
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
164266
211.2 IPS |
|
|
Style Transfer (Q)
|
96% |
167052
215.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4173
154.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31199
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36833
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
2608
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2236
2.98 KIPS |
|
|
Text Classification (Q)
|
93% |
2289
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3446
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2401
41.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2359
40.8 IPS |
