iPhone 13 Pro Max
Geekbench AI Score
3961
Single Precision Score
4446
Half Precision Score
4186
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | April 07 2025 02:43 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1617
300.7 IPS |
|
|
Image Classification (HP)
|
100% |
1457
271.0 IPS |
|
|
Image Classification (Q)
|
96% |
1603
299.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2795
45.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2859
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2798
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11247
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12304
14.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
11864
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
2001
158.7 IPS |
|
|
Object Detection (HP)
|
100% |
1990
157.9 IPS |
|
|
Object Detection (Q)
|
92% |
1791
142.9 IPS |
|
|
Face Detection (SP)
|
100% |
4809
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
6083
72.3 IPS |
|
|
Face Detection (Q)
|
100% |
4776
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8498
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9011
69.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8419
65.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18715
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23275
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22613
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4961
183.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4998
184.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4324
159.7 IPS |
|
|
Text Classification (SP)
|
100% |
2456
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4259
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4186
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1091
18.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1055
18.2 IPS |
