MacBook Pro M5 Pro (2026) Mac17,9
Geekbench AI Score
4763
Single Precision Score
8422
Half Precision Score
6664
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | StefanGentz |
| Upload Date | March 18 2026 10:54 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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, 15 Cores |
| Identifier | Apple M5 Pro |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2176
404.6 IPS |
|
|
Image Classification (HP)
|
100% |
3433
638.4 IPS |
|
|
Image Classification (Q)
|
96% |
2302
429.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2410
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3486
56.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3712
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10112
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20308
23.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17335
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.2 IPS |
|
|
Object Detection (HP)
|
97% |
4050
322.4 IPS |
|
|
Object Detection (Q)
|
94% |
2812
224.2 IPS |
|
|
Face Detection (SP)
|
100% |
4703
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
8076
96.0 IPS |
|
|
Face Detection (Q)
|
100% |
4583
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8975
69.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14902
115.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10350
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25546
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40302
51.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32783
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5902
217.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7076
261.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5059
186.8 IPS |
|
|
Text Classification (SP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (HP)
|
99% |
5381
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5340
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2271
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9878
170.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9873
170.6 IPS |
