iPhone 13 Pro Max
Geekbench AI Score
3249
Single Precision Score
20434
Half Precision Score
23012
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | fridriksa |
| Upload Date | February 22 2025 01:48 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1307
243.0 IPS |
|
|
Image Classification (HP)
|
100% |
9133
1.70 KIPS |
|
|
Image Classification (Q)
|
96% |
10251
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1270
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11701
189.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
15032
243.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6457
7.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
89947
105.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
96171
112.7 IPS |
|
|
Object Detection (SP)
|
100% |
1443
114.5 IPS |
|
|
Object Detection (HP)
|
99% |
11116
884.2 IPS |
|
|
Object Detection (Q)
|
91% |
12048
962.7 IPS |
|
|
Face Detection (SP)
|
100% |
2663
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
29476
350.2 IPS |
|
|
Face Detection (Q)
|
100% |
37360
443.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5351
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
56762
437.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
73038
570.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17298
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
168854
217.1 IPS |
|
|
Style Transfer (Q)
|
96% |
173584
224.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3833
141.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29107
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30488
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2476
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (Q)
|
93% |
2291
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3627
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6251
107.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7051
121.9 IPS |
