iPhone 13 Pro Max
Geekbench AI Score
3182
Single Precision Score
19984
Half Precision Score
22747
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 14 2025 01:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1338
248.9 IPS |
|
|
Image Classification (HP)
|
100% |
8205
1.53 KIPS |
|
|
Image Classification (Q)
|
96% |
10490
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12792
207.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
14751
239.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5963
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
93633
109.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
95931
112.4 IPS |
|
|
Object Detection (SP)
|
100% |
1416
112.4 IPS |
|
|
Object Detection (HP)
|
99% |
10176
809.5 IPS |
|
|
Object Detection (Q)
|
91% |
11215
896.1 IPS |
|
|
Face Detection (SP)
|
100% |
2607
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
29236
347.4 IPS |
|
|
Face Detection (Q)
|
100% |
36942
439.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5037
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
55707
429.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
82055
641.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16843
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
155326
199.7 IPS |
|
|
Style Transfer (Q)
|
96% |
158254
204.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3776
139.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27414
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28402
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2481
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2431
3.25 KIPS |
|
|
Text Classification (Q)
|
93% |
2384
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3567
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6027
103.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6861
118.6 IPS |
