iPhone 14 Pro Max
Geekbench AI Score
3609
Single Precision Score
19999
Half Precision Score
22040
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | eriksp |
| Upload Date | September 10 2024 02:45 PM |
| Views | 31 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1458
271.1 IPS |
|
|
Image Classification (HP)
|
100% |
10146
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
12270
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1485
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11660
189.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13560
219.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7070
8.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
95853
111.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
100669
118.0 IPS |
|
|
Object Detection (SP)
|
100% |
1600
126.9 IPS |
|
|
Object Detection (HP)
|
100% |
12699
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14436
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3138
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
30562
363.1 IPS |
|
|
Face Detection (Q)
|
100% |
38259
454.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6199
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
72070
555.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
93715
732.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19310
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
165190
212.4 IPS |
|
|
Style Transfer (Q)
|
96% |
166319
214.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4312
159.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31962
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35487
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2662
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2577
3.44 KIPS |
|
|
Text Classification (Q)
|
93% |
2194
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3557
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2372
40.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2410
41.6 IPS |
