iPhone 17 Pro
Geekbench AI Score
5078
Single Precision Score
36283
Half Precision Score
49676
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | February 02 2026 05:22 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPhone 17 Pro |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | Apple A19 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2242
416.9 IPS |
|
|
Image Classification (HP)
|
100% |
15889
2.95 KIPS |
|
|
Image Classification (Q)
|
97% |
22487
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19916
322.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24421
395.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9813
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
154254
180.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
293653
344.2 IPS |
|
|
Object Detection (SP)
|
100% |
2514
199.4 IPS |
|
|
Object Detection (HP)
|
100% |
17598
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25112
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4445
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
40830
485.1 IPS |
|
|
Face Detection (Q)
|
100% |
50731
602.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8442
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
105059
809.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
177972
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
24354
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
258931
332.9 IPS |
|
|
Style Transfer (Q)
|
96% |
352310
454.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5684
209.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57307
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88107
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6545
8.74 KIPS |
|
|
Text Classification (Q)
|
93% |
6467
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5305
91.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11050
190.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12468
215.5 IPS |
