MacBook Pro (14-inch, M5 Pro, 2026)/M5 Pro Mac17,9
Geekbench AI Score
20247
Single Precision Score
35147
Half Precision Score
34115
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 11 2026 06:24 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 | GPU |
| 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% |
8836
1.64 KIPS |
|
|
Image Classification (HP)
|
100% |
12529
2.33 KIPS |
|
|
Image Classification (Q)
|
99% |
11767
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18001
291.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
28757
466.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
27414
444.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
71488
83.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
186251
217.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
211767
248.2 IPS |
|
|
Object Detection (SP)
|
100% |
8008
635.2 IPS |
|
|
Object Detection (HP)
|
100% |
14648
1.16 KIPS |
|
|
Object Detection (Q)
|
94% |
13844
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
33344
396.2 IPS |
|
|
Face Detection (HP)
|
100% |
55357
657.8 IPS |
|
|
Face Detection (Q)
|
100% |
49463
587.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
41552
320.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
73522
566.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
70332
549.1 IPS |
|
|
Style Transfer (SP)
|
100% |
151916
195.3 IPS |
|
|
Style Transfer (HP)
|
100% |
331278
425.9 IPS |
|
|
Style Transfer (Q)
|
96% |
394795
509.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26206
967.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43343
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35051
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2966
3.96 KIPS |
|
|
Text Classification (HP)
|
99% |
5494
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5378
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
7774
133.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9117
157.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8722
150.7 IPS |
