iPhone 13 Pro Max
Geekbench AI Score
3725
Single Precision Score
4285
Half Precision Score
3635
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 06:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1535
285.4 IPS |
|
|
Image Classification (HP)
|
100% |
1682
312.8 IPS |
|
|
Image Classification (Q)
|
97% |
1136
212.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2278
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2503
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2519
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11471
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12392
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11285
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1918
152.2 IPS |
|
|
Object Detection (HP)
|
100% |
1965
155.8 IPS |
|
|
Object Detection (Q)
|
91% |
1637
130.8 IPS |
|
|
Face Detection (SP)
|
100% |
4702
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
6330
75.2 IPS |
|
|
Face Detection (Q)
|
100% |
4106
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8467
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8930
68.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7253
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18403
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22388
28.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21286
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4658
172.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4715
174.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3844
141.9 IPS |
|
|
Text Classification (SP)
|
100% |
2428
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4114
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4132
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
809
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
757
13.1 IPS |
