iPhone 14
Geekbench AI Score
3167
Single Precision Score
20570
Half Precision Score
21923
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 04:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone 14 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| 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 | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1258
234.0 IPS |
|
|
Image Classification (HP)
|
100% |
9257
1.72 KIPS |
|
|
Image Classification (Q)
|
96% |
10126
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13227
214.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
15689
254.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5908
6.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
79554
92.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
82846
97.1 IPS |
|
|
Object Detection (SP)
|
100% |
1368
108.5 IPS |
|
|
Object Detection (HP)
|
99% |
11367
904.2 IPS |
|
|
Object Detection (Q)
|
91% |
11001
879.1 IPS |
|
|
Face Detection (SP)
|
100% |
2709
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
29245
347.5 IPS |
|
|
Face Detection (Q)
|
100% |
33164
394.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5166
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
61316
472.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
66179
517.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17121
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
142967
183.8 IPS |
|
|
Style Transfer (Q)
|
96% |
146559
189.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3615
133.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28423
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30570
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2554
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2444
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
2483
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3486
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6880
118.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7255
125.4 IPS |
