iPhone 13 Pro Max
Geekbench AI Score
3119
Single Precision Score
5749
Half Precision Score
4672
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ShortKick |
| Upload Date | September 25 2025 09:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1261
234.6 IPS |
|
|
Image Classification (HP)
|
100% |
2420
450.0 IPS |
|
|
Image Classification (Q)
|
96% |
1677
313.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1258
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2445
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5940
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
14331
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11874
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (HP)
|
97% |
2695
214.5 IPS |
|
|
Object Detection (Q)
|
94% |
1961
156.3 IPS |
|
|
Face Detection (SP)
|
100% |
2574
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
5589
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3161
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5173
39.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10484
81.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7409
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16918
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26959
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22130
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3585
132.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4938
182.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3663
135.3 IPS |
|
|
Text Classification (SP)
|
100% |
2570
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4189
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4143
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3404
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6588
113.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6612
114.3 IPS |
