iPhone 13 Pro
Geekbench AI Score
3209
Single Precision Score
19486
Half Precision Score
22066
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | September 02 2025 04:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
8078
1.50 KIPS |
|
|
Image Classification (Q)
|
96% |
10417
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12792
207.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
14820
240.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5743
6.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
77966
91.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
80536
94.4 IPS |
|
|
Object Detection (SP)
|
100% |
1407
111.6 IPS |
|
|
Object Detection (HP)
|
99% |
10286
818.3 IPS |
|
|
Object Detection (Q)
|
91% |
11460
915.7 IPS |
|
|
Face Detection (SP)
|
100% |
2649
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
28594
339.8 IPS |
|
|
Face Detection (Q)
|
100% |
37040
440.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5285
40.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
53985
415.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
76122
594.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17230
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
154662
198.8 IPS |
|
|
Style Transfer (Q)
|
96% |
150162
193.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3866
142.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29633
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29793
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2530
3.38 KIPS |
|
|
Text Classification (HP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2275
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3561
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5968
102.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6695
115.7 IPS |
