Mac17,9
Geekbench AI Score
20404
Single Precision Score
35563
Half Precision Score
34141
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | discobay |
| Upload Date | March 17 2026 12:20 PM |
| Views | 3 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8937
1.66 KIPS |
|
|
Image Classification (HP)
|
100% |
13010
2.42 KIPS |
|
|
Image Classification (Q)
|
99% |
11954
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18015
292.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
28895
468.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27524
446.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
71367
83.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
185690
216.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
210567
246.8 IPS |
|
|
Object Detection (SP)
|
100% |
8403
666.5 IPS |
|
|
Object Detection (HP)
|
100% |
14544
1.15 KIPS |
|
|
Object Detection (Q)
|
94% |
13385
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
32595
387.3 IPS |
|
|
Face Detection (HP)
|
100% |
54661
649.5 IPS |
|
|
Face Detection (Q)
|
100% |
49100
583.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
41724
321.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
75366
580.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
71663
559.5 IPS |
|
|
Style Transfer (SP)
|
100% |
153042
196.7 IPS |
|
|
Style Transfer (HP)
|
100% |
338949
435.7 IPS |
|
|
Style Transfer (Q)
|
96% |
396750
512.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27395
1.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44656
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34880
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2912
3.89 KIPS |
|
|
Text Classification (HP)
|
99% |
5587
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5447
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
7803
134.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9150
157.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8749
151.2 IPS |
