iPhone 14 Pro Max
Geekbench AI Score
3194
Single Precision Score
3349
Half Precision Score
1218
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | RDNewman |
| Upload Date | October 14 2024 09:12 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 5.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1596
296.8 IPS |
|
|
Image Classification (HP)
|
100% |
1609
299.2 IPS |
|
|
Image Classification (Q)
|
97% |
1383
258.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2287
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2520
40.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2442
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11864
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12265
14.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
11418
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1901
150.8 IPS |
|
|
Object Detection (HP)
|
100% |
1917
152.1 IPS |
|
|
Object Detection (Q)
|
92% |
1485
118.6 IPS |
|
|
Face Detection (SP)
|
100% |
5207
61.9 IPS |
|
|
Face Detection (HP)
|
100% |
5868
69.7 IPS |
|
|
Face Detection (Q)
|
100% |
3771
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8303
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8848
68.2 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
54.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20857
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23175
29.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21776
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4609
170.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4820
178.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3792
140.0 IPS |
|
|
Text Classification (SP)
|
100% |
383
511.1 IPS |
|
|
Text Classification (HP)
|
100% |
365
487.0 IPS |
|
|
Text Classification (Q)
|
93% |
279
374.7 IPS |
|
|
Machine Translation (SP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
882
15.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1451
25.1 IPS |
