iPhone 13 Pro Max
Geekbench AI Score
3323
Single Precision Score
5754
Half Precision Score
4652
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ConnorTung09 |
| Upload Date | November 23 2024 11:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1371
255.0 IPS |
|
|
Image Classification (HP)
|
100% |
2382
442.9 IPS |
|
|
Image Classification (Q)
|
96% |
1646
307.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2496
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6566
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
14282
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12242
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1481
117.4 IPS |
|
|
Object Detection (HP)
|
97% |
2780
221.3 IPS |
|
|
Object Detection (Q)
|
94% |
1962
156.4 IPS |
|
|
Face Detection (SP)
|
100% |
2749
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
5828
69.3 IPS |
|
|
Face Detection (Q)
|
100% |
3273
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5555
42.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11252
87.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7720
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17818
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26953
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22544
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3976
146.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4757
175.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3528
130.3 IPS |
|
|
Text Classification (SP)
|
100% |
2432
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4126
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4099
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3445
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5818
100.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5847
101.0 IPS |
