iPhone 13 Pro Max
Geekbench AI Score
3027
Single Precision Score
5460
Half Precision Score
4469
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 19 2025 05:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1329
247.1 IPS |
|
|
Image Classification (HP)
|
100% |
2400
446.4 IPS |
|
|
Image Classification (Q)
|
96% |
1655
309.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1244
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1926
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2396
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5888
6.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
13467
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11217
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1389
110.2 IPS |
|
|
Object Detection (HP)
|
97% |
2667
212.3 IPS |
|
|
Object Detection (Q)
|
94% |
1907
152.0 IPS |
|
|
Face Detection (SP)
|
100% |
2542
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
5323
63.2 IPS |
|
|
Face Detection (Q)
|
100% |
3015
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4765
36.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10399
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6861
53.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13215
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24311
31.3 IPS |
|
|
Style Transfer (Q)
|
96% |
20213
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3633
134.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4270
157.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3647
134.7 IPS |
|
|
Text Classification (SP)
|
100% |
2414
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
3975
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3950
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3404
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6211
107.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6228
107.6 IPS |
