iPhone 14 Pro Max
Geekbench AI Score
3507
Single Precision Score
19677
Half Precision Score
22335
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 10:38 AM |
| Views | 1 |
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% |
1396
259.5 IPS |
|
|
Image Classification (HP)
|
100% |
10163
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
12207
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1380
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11629
188.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13713
222.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6706
7.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
97111
113.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
102893
120.6 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
100% |
12696
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14454
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3082
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
29726
353.2 IPS |
|
|
Face Detection (Q)
|
100% |
37648
447.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6167
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
75109
578.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
97281
760.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18729
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
164330
211.2 IPS |
|
|
Style Transfer (Q)
|
96% |
170406
219.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4240
156.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30891
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36990
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
2633
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2179
2.91 KIPS |
|
|
Text Classification (Q)
|
93% |
2271
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3487
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2419
41.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2368
40.9 IPS |
