iPhone 13 Pro Max
Geekbench AI Score
3267
Single Precision Score
5770
Half Precision Score
4685
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Ryan900 |
| Upload Date | July 29 2025 07:21 PM |
| Views | 7 |
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% |
1297
241.3 IPS |
|
|
Image Classification (HP)
|
100% |
2366
440.0 IPS |
|
|
Image Classification (Q)
|
96% |
1632
304.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1273
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1971
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2433
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6483
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
14462
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12241
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1447
114.8 IPS |
|
|
Object Detection (HP)
|
97% |
2730
217.3 IPS |
|
|
Object Detection (Q)
|
94% |
1941
154.7 IPS |
|
|
Face Detection (SP)
|
100% |
2676
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
5631
66.9 IPS |
|
|
Face Detection (Q)
|
100% |
3206
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5413
41.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10572
81.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7361
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17604
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
28055
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23146
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3850
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4845
178.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3659
135.1 IPS |
|
|
Text Classification (SP)
|
100% |
2491
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4299
5.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4239
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3657
63.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6391
110.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6378
110.2 IPS |
