MacBook Pro (14-inch, M5) Mac17,2
Geekbench AI Score
13197
Single Precision Score
24729
Half Precision Score
23626
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | October 22 2025 01:57 AM |
| Views | 31 |
| Notes | MacBook Pro (14-inch, M5)/M5 10Core CPU/10Core GPU/16GB/512GB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A8353) |
| 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% |
6314
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
11222
2.09 KIPS |
|
|
Image Classification (Q)
|
97% |
10013
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10247
166.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16818
272.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
17262
279.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
39575
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103314
120.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
111634
130.8 IPS |
|
|
Object Detection (SP)
|
100% |
6454
511.9 IPS |
|
|
Object Detection (HP)
|
100% |
11786
934.9 IPS |
|
|
Object Detection (Q)
|
93% |
10035
800.5 IPS |
|
|
Face Detection (SP)
|
100% |
18496
219.8 IPS |
|
|
Face Detection (HP)
|
100% |
34170
406.0 IPS |
|
|
Face Detection (Q)
|
100% |
26696
317.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
28595
220.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
55840
430.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
53292
416.1 IPS |
|
|
Style Transfer (SP)
|
100% |
82332
105.8 IPS |
|
|
Style Transfer (HP)
|
100% |
191329
246.0 IPS |
|
|
Style Transfer (Q)
|
96% |
210776
272.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16301
601.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33047
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30259
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2157
2.88 KIPS |
|
|
Text Classification (HP)
|
99% |
5585
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5587
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
6333
109.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5523
95.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5521
95.4 IPS |
