iPhone 15 Pro
Geekbench AI Score
3682
Single Precision Score
27066
Half Precision Score
36980
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 24 2025 03:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1581
294.1 IPS |
|
|
Image Classification (HP)
|
100% |
10776
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
14866
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1543
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16428
266.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19992
324.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6989
8.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
101266
118.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
191509
224.5 IPS |
|
|
Object Detection (SP)
|
100% |
1705
135.3 IPS |
|
|
Object Detection (HP)
|
100% |
13893
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18009
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
2988
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
34582
410.9 IPS |
|
|
Face Detection (Q)
|
100% |
50413
599.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6432
49.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78011
601.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
122885
960.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19367
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
205645
264.4 IPS |
|
|
Style Transfer (Q)
|
96% |
250592
323.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4353
160.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34538
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59615
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3094
4.13 KIPS |
|
|
Text Classification (HP)
|
99% |
5264
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5423
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3143
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8401
144.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9298
160.7 IPS |
