MacBook Pro (14-inch, M5) Mac17,2
Geekbench AI Score
13529
Single Precision Score
25392
Half Precision Score
24283
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | December 14 2025 11:35 AM |
| Views | 19 |
| 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 26.2 (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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6101
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
10664
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
9699
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10130
164.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16731
271.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
17196
278.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
39534
46.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
103371
120.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
111368
130.5 IPS |
|
|
Object Detection (SP)
|
100% |
6433
510.3 IPS |
|
|
Object Detection (HP)
|
100% |
11640
923.3 IPS |
|
|
Object Detection (Q)
|
93% |
9995
797.4 IPS |
|
|
Face Detection (SP)
|
100% |
18288
217.3 IPS |
|
|
Face Detection (HP)
|
100% |
33943
403.3 IPS |
|
|
Face Detection (Q)
|
100% |
26519
315.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
28593
220.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
55397
426.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
52872
412.8 IPS |
|
|
Style Transfer (SP)
|
100% |
81272
104.5 IPS |
|
|
Style Transfer (HP)
|
100% |
191823
246.6 IPS |
|
|
Style Transfer (Q)
|
96% |
209945
270.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16312
602.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33070
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29748
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2991
3.99 KIPS |
|
|
Text Classification (HP)
|
99% |
5610
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5578
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
6306
108.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7758
133.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7863
135.9 IPS |
