iPhone 14
Geekbench AI Score
3246
Single Precision Score
19788
Half Precision Score
22333
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | us3rn4m3 |
| Upload Date | March 29 2026 02:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1265
235.3 IPS |
|
|
Image Classification (HP)
|
100% |
8461
1.57 KIPS |
|
|
Image Classification (Q)
|
97% |
10655
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1274
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12726
206.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14773
239.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5410
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
80468
93.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
80932
94.9 IPS |
|
|
Object Detection (SP)
|
100% |
1317
104.5 IPS |
|
|
Object Detection (HP)
|
99% |
10471
832.9 IPS |
|
|
Object Detection (Q)
|
89% |
11792
944.0 IPS |
|
|
Face Detection (SP)
|
100% |
2684
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
28035
333.1 IPS |
|
|
Face Detection (Q)
|
100% |
38374
456.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4768
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
52880
407.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
73265
573.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16267
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
146893
188.8 IPS |
|
|
Style Transfer (Q)
|
96% |
144131
186.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3458
127.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29848
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27481
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
4571
6.10 KIPS |
|
|
Text Classification (HP)
|
100% |
2436
3.25 KIPS |
|
|
Text Classification (Q)
|
93% |
2476
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6409
110.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7455
128.8 IPS |
