Mac17,9
Geekbench AI Score
4970
Single Precision Score
8754
Half Precision Score
7031
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | discobay |
| Upload Date | March 17 2026 01:49 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2320
431.5 IPS |
|
|
Image Classification (HP)
|
100% |
3697
687.5 IPS |
|
|
Image Classification (Q)
|
96% |
2511
468.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2476
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3473
56.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4006
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10375
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20694
24.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17934
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2799
222.0 IPS |
|
|
Object Detection (HP)
|
97% |
4236
337.2 IPS |
|
|
Object Detection (Q)
|
94% |
3003
239.3 IPS |
|
|
Face Detection (SP)
|
100% |
5094
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
8626
102.5 IPS |
|
|
Face Detection (Q)
|
100% |
4950
58.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9345
72.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15638
120.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10813
84.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27007
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
41859
53.8 IPS |
|
|
Style Transfer (Q)
|
96% |
34170
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5947
219.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7167
264.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5164
190.7 IPS |
|
|
Text Classification (SP)
|
100% |
2974
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
5742
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5693
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2428
41.8 IPS |
|
|
Machine Translation (HP)
|
98% |
10108
174.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10146
175.3 IPS |
