Mac17,9
Geekbench AI Score
5045
Single Precision Score
44074
Half Precision Score
58602
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Naved |
| Upload Date | March 17 2026 03:34 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.60 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2334
434.1 IPS |
|
|
Image Classification (HP)
|
100% |
18988
3.53 KIPS |
|
|
Image Classification (Q)
|
97% |
23484
4.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2504
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
25871
419.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
36902
598.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11393
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
182387
212.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
335737
393.5 IPS |
|
|
Object Detection (SP)
|
100% |
2825
224.1 IPS |
|
|
Object Detection (HP)
|
100% |
23989
1.90 KIPS |
|
|
Object Detection (Q)
|
91% |
28056
2.24 KIPS |
|
|
Face Detection (SP)
|
100% |
5183
61.6 IPS |
|
|
Face Detection (HP)
|
100% |
49808
591.8 IPS |
|
|
Face Detection (Q)
|
100% |
69673
827.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9407
72.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
136246
1.05 KIPS |
|
|
Depth Estimation (Q)
|
85% |
215400
1.68 KIPS |
|
|
Style Transfer (SP)
|
100% |
27089
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
287461
369.5 IPS |
|
|
Style Transfer (Q)
|
96% |
394224
508.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5937
219.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64547
2.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100144
3.70 KIPS |
|
|
Text Classification (SP)
|
100% |
2981
3.98 KIPS |
|
|
Text Classification (HP)
|
99% |
5477
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5388
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2431
41.9 IPS |
|
|
Machine Translation (HP)
|
100% |
18661
321.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18331
316.8 IPS |
