MacBook Pro (14-inch, M5) Mac17,2
Geekbench AI Score
5302
Single Precision Score
41770
Half Precision Score
57894
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | October 22 2025 01:59 AM |
| Views | 95 |
| Notes | MacBook Pro (14-inch, M5)/M5 10Core CPU/10Core GPU/16GB/512GB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2260
420.2 IPS |
|
|
Image Classification (HP)
|
100% |
18406
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
24136
4.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2420
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23882
387.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32720
530.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10993
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
178600
208.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
334598
392.2 IPS |
|
|
Object Detection (SP)
|
100% |
2676
212.3 IPS |
|
|
Object Detection (HP)
|
100% |
18742
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26955
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4799
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
47257
561.5 IPS |
|
|
Face Detection (Q)
|
100% |
66419
789.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9123
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
112112
863.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
185361
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
27132
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
274047
352.3 IPS |
|
|
Style Transfer (Q)
|
96% |
374235
482.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5986
221.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63546
2.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
97625
3.60 KIPS |
|
|
Text Classification (SP)
|
100% |
3037
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
6679
8.91 KIPS |
|
|
Text Classification (Q)
|
93% |
6887
9.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
5058
87.1 IPS |
|
|
Machine Translation (HP)
|
100% |
17831
307.1 IPS |
|
|
Machine Translation (Q)
|
98% |
19173
331.3 IPS |
