iPhone 15
Geekbench AI Score
3246
Single Precision Score
21137
Half Precision Score
24579
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 26 2026 09:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1300
241.7 IPS |
|
|
Image Classification (HP)
|
100% |
8659
1.61 KIPS |
|
|
Image Classification (Q)
|
97% |
10416
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14620
237.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19255
312.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5679
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
97500
113.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
102798
120.5 IPS |
|
|
Object Detection (SP)
|
100% |
1421
112.7 IPS |
|
|
Object Detection (HP)
|
100% |
10734
851.4 IPS |
|
|
Object Detection (Q)
|
91% |
12474
996.7 IPS |
|
|
Face Detection (SP)
|
100% |
3070
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
31601
375.5 IPS |
|
|
Face Detection (Q)
|
100% |
40183
477.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5209
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
60943
469.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
75977
594.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16528
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
167662
215.5 IPS |
|
|
Style Transfer (Q)
|
96% |
171516
221.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3648
134.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26203
967.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31336
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2750
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
2207
2.95 KIPS |
|
|
Text Classification (Q)
|
93% |
2217
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3383
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7198
124.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8603
148.7 IPS |
