Mac17,9
Geekbench AI Score
21577
Single Precision Score
37500
Half Precision Score
36180
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | joanbrava |
| Upload Date | April 09 2026 07:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4.1 (Build 25E253) |
| 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% |
8726
1.62 KIPS |
|
|
Image Classification (HP)
|
100% |
12469
2.32 KIPS |
|
|
Image Classification (Q)
|
99% |
11808
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17939
290.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
28912
468.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
27676
448.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
71390
83.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
185910
216.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
212164
248.7 IPS |
|
|
Object Detection (SP)
|
100% |
8122
644.2 IPS |
|
|
Object Detection (HP)
|
100% |
14365
1.14 KIPS |
|
|
Object Detection (Q)
|
94% |
13777
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
32494
386.1 IPS |
|
|
Face Detection (HP)
|
100% |
55383
658.1 IPS |
|
|
Face Detection (Q)
|
100% |
49787
591.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
41593
320.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
75099
578.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
70869
553.3 IPS |
|
|
Style Transfer (SP)
|
100% |
151981
195.4 IPS |
|
|
Style Transfer (HP)
|
100% |
336390
432.4 IPS |
|
|
Style Transfer (Q)
|
96% |
394207
508.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26313
971.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44540
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35164
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
5850
7.81 KIPS |
|
|
Text Classification (HP)
|
99% |
10471
14.0 KIPS |
|
|
Text Classification (Q)
|
93% |
9735
13.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
7624
131.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8754
150.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8451
146.0 IPS |
