iPhone 15 Pro
Geekbench AI Score
3785
Single Precision Score
6882
Half Precision Score
5655
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 20 2025 03:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1580
293.9 IPS |
|
|
Image Classification (HP)
|
100% |
2964
551.2 IPS |
|
|
Image Classification (Q)
|
96% |
2039
380.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1551
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2329
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3032
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7266
8.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
16265
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13840
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1659
131.6 IPS |
|
|
Object Detection (HP)
|
97% |
3276
260.8 IPS |
|
|
Object Detection (Q)
|
94% |
2358
188.0 IPS |
|
|
Face Detection (SP)
|
100% |
3143
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6766
80.4 IPS |
|
|
Face Detection (Q)
|
100% |
3815
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6764
52.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12625
97.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8883
69.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20498
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32920
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27042
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4487
165.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5617
207.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4304
158.9 IPS |
|
|
Text Classification (SP)
|
100% |
3291
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5543
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5625
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3180
54.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7402
127.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7479
129.2 IPS |
