Mac17,2
Geekbench AI Score
5334
Single Precision Score
8674
Half Precision Score
6908
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 11 2025 03:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2287
425.3 IPS |
|
|
Image Classification (HP)
|
100% |
3717
691.3 IPS |
|
|
Image Classification (Q)
|
96% |
2531
472.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3558
57.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3897
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11342
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20817
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17896
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2702
214.3 IPS |
|
|
Object Detection (HP)
|
97% |
4265
339.6 IPS |
|
|
Object Detection (Q)
|
94% |
2971
236.8 IPS |
|
|
Face Detection (SP)
|
100% |
4874
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
8636
102.6 IPS |
|
|
Face Detection (Q)
|
100% |
4880
58.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9197
70.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15304
118.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10671
83.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27658
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
41612
53.5 IPS |
|
|
Style Transfer (Q)
|
96% |
34096
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5905
218.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7111
262.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5122
189.1 IPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
99% |
5573
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5548
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5077
87.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9424
162.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9354
161.6 IPS |
