Mac17,2
Geekbench AI Score
5315
Single Precision Score
8666
Half Precision Score
6901
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | January 31 2026 02:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2295
426.7 IPS |
|
|
Image Classification (HP)
|
100% |
3686
685.4 IPS |
|
|
Image Classification (Q)
|
96% |
2524
471.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3561
57.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3905
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11008
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20791
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17829
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2681
212.6 IPS |
|
|
Object Detection (HP)
|
97% |
4216
335.7 IPS |
|
|
Object Detection (Q)
|
94% |
2970
236.7 IPS |
|
|
Face Detection (SP)
|
100% |
4787
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8575
101.9 IPS |
|
|
Face Detection (Q)
|
100% |
4829
57.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9087
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15253
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10636
83.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27414
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41412
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33938
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5987
221.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7188
265.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5171
190.9 IPS |
|
|
Text Classification (SP)
|
100% |
3026
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5552
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5549
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5056
87.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9611
166.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9387
162.2 IPS |
