MacBook Pro (14-inch, 2025) Mac17,2
Geekbench AI Score
5350
Single Precision Score
8678
Half Precision Score
6925
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | rennsport |
| Upload Date | December 25 2025 02:38 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | Mac17,2 |
| Model ID | Mac17,2 |
| Motherboard | Mac17,2 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2304
428.4 IPS |
|
|
Image Classification (HP)
|
100% |
3678
683.9 IPS |
|
|
Image Classification (Q)
|
96% |
2513
469.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2426
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3567
57.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3901
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11309
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20741
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17923
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2684
212.9 IPS |
|
|
Object Detection (HP)
|
97% |
4199
334.3 IPS |
|
|
Object Detection (Q)
|
94% |
2979
237.4 IPS |
|
|
Face Detection (SP)
|
100% |
4836
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
8568
101.8 IPS |
|
|
Face Detection (Q)
|
100% |
4826
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9147
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15308
118.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10639
83.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27308
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41435
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33867
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5989
221.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7176
265.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5174
191.0 IPS |
|
|
Text Classification (SP)
|
100% |
3075
4.10 KIPS |
|
|
Text Classification (HP)
|
99% |
5648
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5689
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5098
87.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9626
166.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9471
163.7 IPS |
