iPhone 17 Pro
Geekbench AI Score
4914
Single Precision Score
36093
Half Precision Score
49860
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 03 2026 02:37 PM |
| Views | 9 |
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% |
2253
419.0 IPS |
|
|
Image Classification (HP)
|
100% |
16518
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
23454
4.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2055
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19883
322.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24323
394.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9563
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
147787
172.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
278527
326.5 IPS |
|
|
Object Detection (SP)
|
100% |
2488
197.4 IPS |
|
|
Object Detection (HP)
|
100% |
17901
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26019
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4199
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
40797
484.8 IPS |
|
|
Face Detection (Q)
|
100% |
58780
698.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8096
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104344
803.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
168560
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
23216
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
254866
327.6 IPS |
|
|
Style Transfer (Q)
|
96% |
343465
443.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5215
192.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56372
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86430
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3519
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6287
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6316
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5156
88.8 IPS |
|
|
Machine Translation (HP)
|
100% |
11232
193.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12365
213.7 IPS |
