Mac17,9
Geekbench AI Score
5027
Single Precision Score
43635
Half Precision Score
57430
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | dd1989 |
| Upload Date | March 11 2026 01:44 PM |
| Views | 11 |
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, 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% |
2331
433.5 IPS |
|
|
Image Classification (HP)
|
100% |
19278
3.59 KIPS |
|
|
Image Classification (Q)
|
97% |
22702
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2459
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
25699
416.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
36003
583.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11256
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
182495
212.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
334838
392.5 IPS |
|
|
Object Detection (SP)
|
100% |
2813
223.1 IPS |
|
|
Object Detection (HP)
|
100% |
21620
1.71 KIPS |
|
|
Object Detection (Q)
|
91% |
27017
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
5193
61.7 IPS |
|
|
Face Detection (HP)
|
100% |
49161
584.1 IPS |
|
|
Face Detection (Q)
|
100% |
68131
809.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9405
72.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
136197
1.05 KIPS |
|
|
Depth Estimation (Q)
|
85% |
198910
1.56 KIPS |
|
|
Style Transfer (SP)
|
100% |
27231
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
287338
369.4 IPS |
|
|
Style Transfer (Q)
|
96% |
394976
509.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5941
219.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64619
2.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
95968
3.54 KIPS |
|
|
Text Classification (SP)
|
100% |
2948
3.93 KIPS |
|
|
Text Classification (HP)
|
99% |
5431
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5396
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2439
42.0 IPS |
|
|
Machine Translation (HP)
|
100% |
18963
326.7 IPS |
|
|
Machine Translation (Q)
|
98% |
19045
329.1 IPS |
