iPhone 14 Pro Max
Geekbench AI Score
3536
Single Precision Score
22493
Half Precision Score
25657
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jyh12923 |
| Upload Date | December 14 2024 05:20 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1426
265.2 IPS |
|
|
Image Classification (HP)
|
100% |
10376
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
12809
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1425
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14669
237.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
17821
288.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7126
8.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
93269
108.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
101182
118.6 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
100% |
12682
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14728
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
27275
324.1 IPS |
|
|
Face Detection (Q)
|
100% |
39342
467.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6144
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
74815
576.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
95811
749.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18921
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
162246
208.6 IPS |
|
|
Style Transfer (Q)
|
96% |
178220
230.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4223
155.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31520
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35479
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2611
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2467
3.29 KIPS |
|
|
Text Classification (Q)
|
93% |
2001
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7154
123.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7622
131.7 IPS |
