iPhone 13 Pro Max
Geekbench AI Score
3146
Single Precision Score
5592
Half Precision Score
4598
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 20 2025 06:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1348
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
2355
437.9 IPS |
|
|
Image Classification (Q)
|
96% |
1614
301.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1073
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2402
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6077
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
14136
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11748
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1382
109.6 IPS |
|
|
Object Detection (HP)
|
97% |
2223
177.0 IPS |
|
|
Object Detection (Q)
|
94% |
1902
151.6 IPS |
|
|
Face Detection (SP)
|
100% |
2625
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
5547
65.9 IPS |
|
|
Face Detection (Q)
|
100% |
3076
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5224
40.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10467
80.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7262
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16992
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27943
35.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22643
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3818
141.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4816
177.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3641
134.5 IPS |
|
|
Text Classification (SP)
|
100% |
2443
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4249
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4217
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3600
62.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6308
109.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6279
108.5 IPS |
