MacBook Pro (14-inch, M5) Mac17,2
Geekbench AI Score
13567
Single Precision Score
25486
Half Precision Score
24291
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | December 14 2025 11:16 AM |
| Views | 20 |
| Notes | MacBook Pro (14-inch, M5)/M5 10Core CPU/10Core GPU/32GB/1TB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6291
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
11116
2.07 KIPS |
|
|
Image Classification (Q)
|
97% |
9941
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10193
165.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16822
272.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
17234
279.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
39545
46.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
103287
120.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
111333
130.5 IPS |
|
|
Object Detection (SP)
|
100% |
6430
510.0 IPS |
|
|
Object Detection (HP)
|
100% |
11683
926.7 IPS |
|
|
Object Detection (Q)
|
93% |
9978
796.0 IPS |
|
|
Face Detection (SP)
|
100% |
18236
216.7 IPS |
|
|
Face Detection (HP)
|
100% |
33382
396.7 IPS |
|
|
Face Detection (Q)
|
100% |
26042
309.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
28492
219.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
54786
422.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
52662
411.2 IPS |
|
|
Style Transfer (SP)
|
100% |
81085
104.2 IPS |
|
|
Style Transfer (HP)
|
100% |
189466
243.6 IPS |
|
|
Style Transfer (Q)
|
96% |
210671
271.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16539
610.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33000
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29879
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2955
3.94 KIPS |
|
|
Text Classification (HP)
|
99% |
5664
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5533
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
6294
108.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7913
136.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7871
136.0 IPS |
