iPhone 13 Pro Max
Geekbench AI Score
3240
Single Precision Score
5659
Half Precision Score
4629
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 10 2025 06:32 AM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1312
244.0 IPS |
|
|
Image Classification (HP)
|
100% |
2253
418.9 IPS |
|
|
Image Classification (Q)
|
96% |
1576
294.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1216
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1834
29.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2410
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6541
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
14677
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12147
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1431
113.5 IPS |
|
|
Object Detection (HP)
|
97% |
2652
211.2 IPS |
|
|
Object Detection (Q)
|
94% |
1894
151.0 IPS |
|
|
Face Detection (SP)
|
100% |
2629
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
5550
65.9 IPS |
|
|
Face Detection (Q)
|
100% |
3177
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5276
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10199
78.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7247
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17665
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27936
35.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23112
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3876
143.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4912
181.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3629
134.0 IPS |
|
|
Text Classification (SP)
|
100% |
2483
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4273
5.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4239
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3629
62.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6319
109.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6321
109.2 IPS |
