iPhone 14
Geekbench AI Score
2329
Single Precision Score
13899
Half Precision Score
16619
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 23 2025 05:36 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1352
251.5 IPS |
|
|
Image Classification (HP)
|
100% |
7893
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
8789
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13043
211.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
14411
233.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3595
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
48204
56.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
49559
58.1 IPS |
|
|
Object Detection (SP)
|
100% |
1034
82.0 IPS |
|
|
Object Detection (HP)
|
99% |
6100
485.2 IPS |
|
|
Object Detection (Q)
|
91% |
8606
687.7 IPS |
|
|
Face Detection (SP)
|
100% |
1455
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
16794
199.6 IPS |
|
|
Face Detection (Q)
|
100% |
23580
280.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3556
27.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
33671
259.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
48997
382.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10908
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
124226
159.7 IPS |
|
|
Style Transfer (Q)
|
96% |
122397
157.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2795
103.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21912
809.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27659
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2440
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1285
1.72 KIPS |
|
|
Text Classification (Q)
|
93% |
1403
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1950
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4495
77.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5422
93.7 IPS |
