iPhone 17
Geekbench AI Score
4673
Single Precision Score
35560
Half Precision Score
48237
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 27 2026 03:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone 17 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| CPU Information | |
|---|---|
| Name | Apple A19 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2163
402.2 IPS |
|
|
Image Classification (HP)
|
100% |
15744
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
21163
3.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1832
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18872
305.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24113
390.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9546
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
158916
185.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
299032
350.5 IPS |
|
|
Object Detection (SP)
|
100% |
2468
195.8 IPS |
|
|
Object Detection (HP)
|
100% |
17386
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24729
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
3717
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
40200
477.7 IPS |
|
|
Face Detection (Q)
|
100% |
50317
597.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8270
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
102124
786.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
160769
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
21946
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
252798
325.0 IPS |
|
|
Style Transfer (Q)
|
96% |
345602
446.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5268
194.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55917
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85740
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3476
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6444
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6400
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4311
74.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10532
181.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11782
203.6 IPS |
