MacBook Pro M5 Pro (2026) Mac17,9
Geekbench AI Score
18503
Single Precision Score
32495
Half Precision Score
31504
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | StefanGentz |
| Upload Date | March 18 2026 10:58 PM |
| Views | 11 |
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, 15 Cores |
| Identifier | Apple M5 Pro |
| Base Frequency | 4.09 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8270
1.54 KIPS |
|
|
Image Classification (HP)
|
100% |
12117
2.25 KIPS |
|
|
Image Classification (Q)
|
99% |
11237
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15372
249.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24992
405.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23918
387.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
60064
70.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
156115
182.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
190298
223.0 IPS |
|
|
Object Detection (SP)
|
100% |
8043
638.0 IPS |
|
|
Object Detection (HP)
|
100% |
14115
1.12 KIPS |
|
|
Object Detection (Q)
|
94% |
13088
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
30497
362.4 IPS |
|
|
Face Detection (HP)
|
100% |
50996
605.9 IPS |
|
|
Face Detection (Q)
|
100% |
45214
537.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
39362
303.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
70130
540.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
64215
501.3 IPS |
|
|
Style Transfer (SP)
|
100% |
129424
166.4 IPS |
|
|
Style Transfer (HP)
|
100% |
284759
366.1 IPS |
|
|
Style Transfer (Q)
|
96% |
334094
431.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22290
823.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40596
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33233
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3047
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5544
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5463
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
7259
125.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8585
147.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8170
141.2 IPS |
