iPhone 14 Pro Max
Geekbench AI Score
3177
Single Precision Score
3327
Half Precision Score
3045
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | SpeedsterCamaro |
| Upload Date | August 30 2024 03:08 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1536
285.6 IPS |
|
|
Image Classification (HP)
|
100% |
1579
293.6 IPS |
|
|
Image Classification (Q)
|
99% |
1581
294.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2303
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2489
40.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
2508
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11519
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12254
14.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11005
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1882
149.3 IPS |
|
|
Object Detection (HP)
|
100% |
1867
148.1 IPS |
|
|
Object Detection (Q)
|
92% |
1471
117.4 IPS |
|
|
Face Detection (SP)
|
100% |
5346
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
5845
69.5 IPS |
|
|
Face Detection (Q)
|
100% |
3771
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8505
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8802
67.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
8915
68.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20869
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23464
30.2 IPS |
|
|
Style Transfer (Q)
|
100% |
23245
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4562
168.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4813
177.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3783
140.1 IPS |
|
|
Text Classification (SP)
|
100% |
378
504.1 IPS |
|
|
Text Classification (HP)
|
100% |
372
497.1 IPS |
|
|
Text Classification (Q)
|
93% |
251
336.5 IPS |
|
|
Machine Translation (SP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1443
24.9 IPS |
