iPhone 14 Pro Max
Geekbench AI Score
3852
Single Precision Score
4254
Half Precision Score
3648
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 10 2024 11:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1626
302.4 IPS |
|
|
Image Classification (HP)
|
100% |
1569
291.8 IPS |
|
|
Image Classification (Q)
|
97% |
1116
208.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2263
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2500
40.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2496
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11646
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12330
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11370
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1888
149.8 IPS |
|
|
Object Detection (HP)
|
100% |
1868
148.2 IPS |
|
|
Object Detection (Q)
|
91% |
1542
123.2 IPS |
|
|
Face Detection (SP)
|
100% |
5173
61.5 IPS |
|
|
Face Detection (HP)
|
100% |
6011
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
4073
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8474
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8801
67.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7282
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21052
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23650
30.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22042
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4670
172.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4742
175.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3685
136.1 IPS |
|
|
Text Classification (SP)
|
100% |
2559
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
4429
5.91 KIPS |
|
|
Text Classification (Q)
|
93% |
4425
5.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
807
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (Q)
|
98% |
802
13.9 IPS |
