iPhone 13 Pro Max
Geekbench AI Score
3789
Single Precision Score
4215
Half Precision Score
3788
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RAMFlux |
| Upload Date | March 18 2025 01:46 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1698
315.7 IPS |
|
|
Image Classification (HP)
|
100% |
1436
267.0 IPS |
|
|
Image Classification (Q)
|
97% |
1469
274.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2258
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2479
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2459
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11295
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12203
14.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11360
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1974
156.5 IPS |
|
|
Object Detection (HP)
|
100% |
2034
161.3 IPS |
|
|
Object Detection (Q)
|
91% |
1631
130.3 IPS |
|
|
Face Detection (SP)
|
100% |
4617
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
5981
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
4113
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8478
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8881
68.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7631
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18670
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23180
29.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21713
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4913
181.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4912
181.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3958
146.2 IPS |
|
|
Text Classification (SP)
|
100% |
2445
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4097
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4106
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
814
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
810
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
821
14.2 IPS |
