iPhone 15
Geekbench AI Score
3316
Single Precision Score
20903
Half Precision Score
24167
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | December 18 2025 03:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone 15 |
| Model ID | iPhone15,4 |
| Motherboard | D37AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1302
242.1 IPS |
|
|
Image Classification (HP)
|
100% |
8176
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
11363
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16312
264.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19321
313.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5845
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
95530
111.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
101163
118.6 IPS |
|
|
Object Detection (SP)
|
100% |
1462
116.0 IPS |
|
|
Object Detection (HP)
|
100% |
10225
811.0 IPS |
|
|
Object Detection (Q)
|
91% |
13916
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3063
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
31873
378.7 IPS |
|
|
Face Detection (Q)
|
100% |
40536
481.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5611
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
57429
442.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
60790
475.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17345
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
165215
212.4 IPS |
|
|
Style Transfer (Q)
|
96% |
167208
215.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3692
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24393
900.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29371
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2722
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
2242
2.99 KIPS |
|
|
Text Classification (Q)
|
93% |
2176
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3383
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7395
127.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8351
144.3 IPS |
