iPhone 15 Pro
Geekbench AI Score
3776
Single Precision Score
23454
Half Precision Score
34314
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Sykesylad123 |
| Upload Date | November 02 2025 07:13 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1589
295.5 IPS |
|
|
Image Classification (HP)
|
100% |
8819
1.64 KIPS |
|
|
Image Classification (Q)
|
97% |
14299
2.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1575
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16424
266.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20947
339.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7276
8.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
101060
117.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
198034
232.1 IPS |
|
|
Object Detection (SP)
|
100% |
1415
112.2 IPS |
|
|
Object Detection (HP)
|
100% |
11805
936.4 IPS |
|
|
Object Detection (Q)
|
91% |
16863
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3103
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
36702
436.1 IPS |
|
|
Face Detection (Q)
|
100% |
46324
550.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7032
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
59629
459.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
119434
933.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21407
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
194998
250.7 IPS |
|
|
Style Transfer (Q)
|
96% |
229501
296.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4767
176.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28247
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46853
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
3231
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5463
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5534
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3181
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4428
76.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6873
118.8 IPS |
