Mac17,2
Geekbench AI Score
5320
Single Precision Score
41192
Half Precision Score
57315
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 12:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A8353) |
| Model | Mac17,2 |
| Model ID | Mac17,2 |
| Motherboard | Mac17,2 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2279
423.9 IPS |
|
|
Image Classification (HP)
|
100% |
18521
3.44 KIPS |
|
|
Image Classification (Q)
|
97% |
24518
4.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2425
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23900
387.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33025
535.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10993
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
176630
206.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
333023
390.3 IPS |
|
|
Object Detection (SP)
|
100% |
2701
214.2 IPS |
|
|
Object Detection (HP)
|
100% |
17993
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26671
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4874
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
46899
557.3 IPS |
|
|
Face Detection (Q)
|
100% |
66554
790.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9112
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
111221
856.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
177011
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
27516
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
270871
348.2 IPS |
|
|
Style Transfer (Q)
|
96% |
367921
474.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5923
218.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63551
2.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100970
3.73 KIPS |
|
|
Text Classification (SP)
|
100% |
3018
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
6308
8.42 KIPS |
|
|
Text Classification (Q)
|
93% |
6533
8.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
5069
87.3 IPS |
|
|
Machine Translation (HP)
|
100% |
17655
304.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18605
321.5 IPS |
