iPhone 13 Pro Max
Geekbench AI Score
3264
Single Precision Score
18486
Half Precision Score
20079
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 04:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1354
251.8 IPS |
|
|
Image Classification (HP)
|
100% |
7717
1.44 KIPS |
|
|
Image Classification (Q)
|
96% |
7824
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1259
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12379
200.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13654
221.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6497
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
73542
85.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
82164
96.3 IPS |
|
|
Object Detection (SP)
|
100% |
1464
116.1 IPS |
|
|
Object Detection (HP)
|
99% |
10113
804.4 IPS |
|
|
Object Detection (Q)
|
91% |
11997
958.6 IPS |
|
|
Face Detection (SP)
|
100% |
2642
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
28975
344.3 IPS |
|
|
Face Detection (Q)
|
100% |
36962
439.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5383
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
53987
415.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
63072
492.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17863
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
158173
203.3 IPS |
|
|
Style Transfer (Q)
|
96% |
150456
194.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3801
140.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27891
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28021
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2417
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1586
2.12 KIPS |
|
|
Text Classification (Q)
|
93% |
1516
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3635
62.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5995
103.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6791
117.4 IPS |
