iPhone 13 Pro Max
Geekbench AI Score
3275
Single Precision Score
5702
Half Precision Score
4938
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Tom34772 |
| Upload Date | August 16 2024 12:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1362
253.2 IPS |
|
|
Image Classification (HP)
|
100% |
2360
438.8 IPS |
|
|
Image Classification (Q)
|
99% |
2357
439.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2056
33.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
2003
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6486
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
14274
16.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
11866
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1458
115.6 IPS |
|
|
Object Detection (HP)
|
97% |
2752
219.1 IPS |
|
|
Object Detection (Q)
|
94% |
1940
154.6 IPS |
|
|
Face Detection (SP)
|
100% |
2717
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
5721
68.0 IPS |
|
|
Face Detection (Q)
|
100% |
3221
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5369
41.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11184
86.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
11175
86.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17747
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27060
34.8 IPS |
|
|
Style Transfer (Q)
|
100% |
26938
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3926
145.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4682
172.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3473
128.7 IPS |
|
|
Text Classification (SP)
|
100% |
2432
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4110
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4111
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3422
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5724
98.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5741
99.2 IPS |
