iPhone 13 Pro
Geekbench AI Score
3169
Single Precision Score
19049
Half Precision Score
21155
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 04:48 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1260
234.2 IPS |
|
|
Image Classification (HP)
|
100% |
7636
1.42 KIPS |
|
|
Image Classification (Q)
|
96% |
9155
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1264
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12551
203.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12848
208.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6122
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
76852
89.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
80177
94.0 IPS |
|
|
Object Detection (SP)
|
100% |
1361
108.0 IPS |
|
|
Object Detection (HP)
|
99% |
10452
831.4 IPS |
|
|
Object Detection (Q)
|
91% |
12165
972.0 IPS |
|
|
Face Detection (SP)
|
100% |
2639
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
24850
295.3 IPS |
|
|
Face Detection (Q)
|
100% |
31387
372.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5155
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
54761
421.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
74812
584.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17501
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
152683
196.3 IPS |
|
|
Style Transfer (Q)
|
96% |
140724
181.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3640
134.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27434
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29470
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2571
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
2358
3.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2366
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3465
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6082
104.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6794
117.4 IPS |
