iPhone 13 Pro Max
Geekbench AI Score
3329
Single Precision Score
5783
Half Precision Score
4666
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 11:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1364
253.6 IPS |
|
|
Image Classification (HP)
|
100% |
2381
442.7 IPS |
|
|
Image Classification (Q)
|
96% |
1642
306.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1349
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2056
33.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2466
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6636
7.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
14475
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12334
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1466
116.3 IPS |
|
|
Object Detection (HP)
|
97% |
2748
218.8 IPS |
|
|
Object Detection (Q)
|
94% |
1962
156.4 IPS |
|
|
Face Detection (SP)
|
100% |
2699
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
5728
68.1 IPS |
|
|
Face Detection (Q)
|
100% |
3260
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5580
43.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11191
86.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7678
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18156
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27590
35.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22825
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4040
149.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4903
181.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3566
131.7 IPS |
|
|
Text Classification (SP)
|
100% |
2454
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4209
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4153
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3454
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5890
101.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5906
102.1 IPS |
