MacBook Pro (14-inch, M5 Pro, 2026)/M5 Pro Mac17,9
Geekbench AI Score
5024
Single Precision Score
43758
Half Precision Score
57839
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 11 2026 06:26 AM |
| Views | 16 |
| Notes | MacBook Pro (14-inch, M5 Pro, 2026)/M5 Pro 18Core CPU/20Core GPU/48GB/2TB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,9 |
| Model ID | Mac17,9 |
| Motherboard | Mac17,9 |
| CPU Information | |
|---|---|
| Name | Apple M5 Pro |
| Topology | 1 Processor, 18 Cores |
| Identifier | Apple M5 Pro |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2326
432.5 IPS |
|
|
Image Classification (HP)
|
100% |
19086
3.55 KIPS |
|
|
Image Classification (Q)
|
97% |
22803
4.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2446
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
25738
417.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
35741
579.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11389
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
182211
212.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
334948
392.6 IPS |
|
|
Object Detection (SP)
|
100% |
2790
221.3 IPS |
|
|
Object Detection (HP)
|
100% |
21359
1.69 KIPS |
|
|
Object Detection (Q)
|
91% |
27047
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
5131
61.0 IPS |
|
|
Face Detection (HP)
|
100% |
49051
582.8 IPS |
|
|
Face Detection (Q)
|
100% |
68983
819.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9422
72.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
137578
1.06 KIPS |
|
|
Depth Estimation (Q)
|
85% |
208087
1.63 KIPS |
|
|
Style Transfer (SP)
|
100% |
27131
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
287325
369.4 IPS |
|
|
Style Transfer (Q)
|
96% |
396004
511.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6019
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67142
2.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
96956
3.58 KIPS |
|
|
Text Classification (SP)
|
100% |
2955
3.94 KIPS |
|
|
Text Classification (HP)
|
99% |
5635
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5408
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2433
41.9 IPS |
|
|
Machine Translation (HP)
|
100% |
18353
316.1 IPS |
|
|
Machine Translation (Q)
|
98% |
19042
329.1 IPS |
