Mac17,9
Geekbench AI Score
5044
Single Precision Score
8806
Half Precision Score
7039
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | hunterwyx |
| Upload Date | March 24 2026 11:26 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (a) (Build 25D771280a) |
| 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 | 4.57 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2347
436.5 IPS |
|
|
Image Classification (HP)
|
100% |
3687
685.7 IPS |
|
|
Image Classification (Q)
|
96% |
2543
474.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2500
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3496
56.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4005
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11266
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20859
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17963
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2813
223.1 IPS |
|
|
Object Detection (HP)
|
97% |
4261
339.2 IPS |
|
|
Object Detection (Q)
|
94% |
3006
239.6 IPS |
|
|
Face Detection (SP)
|
100% |
5147
61.2 IPS |
|
|
Face Detection (HP)
|
100% |
8797
104.5 IPS |
|
|
Face Detection (Q)
|
100% |
4902
58.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9377
72.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15654
121.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10823
84.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26979
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
41600
53.5 IPS |
|
|
Style Transfer (Q)
|
96% |
34268
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5975
220.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7239
267.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5216
192.6 IPS |
|
|
Text Classification (SP)
|
100% |
3043
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
5795
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5583
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2424
41.8 IPS |
|
|
Machine Translation (HP)
|
98% |
10194
176.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10266
177.4 IPS |
