Mac17,2
Geekbench AI Score
13631
Single Precision Score
25610
Half Precision Score
24404
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | oiskin |
| Upload Date | December 22 2025 10:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6143
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
11004
2.05 KIPS |
|
|
Image Classification (Q)
|
97% |
9845
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10236
165.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16853
273.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
17257
279.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
39390
46.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
102990
120.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
111691
130.9 IPS |
|
|
Object Detection (SP)
|
100% |
6464
512.7 IPS |
|
|
Object Detection (HP)
|
100% |
11871
941.6 IPS |
|
|
Object Detection (Q)
|
93% |
10199
813.7 IPS |
|
|
Face Detection (SP)
|
100% |
18302
217.5 IPS |
|
|
Face Detection (HP)
|
100% |
34090
405.1 IPS |
|
|
Face Detection (Q)
|
100% |
26565
315.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
28574
220.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
56113
432.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
52769
412.0 IPS |
|
|
Style Transfer (SP)
|
100% |
81784
105.1 IPS |
|
|
Style Transfer (HP)
|
100% |
191287
245.9 IPS |
|
|
Style Transfer (Q)
|
96% |
212498
274.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17046
629.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33195
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30085
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3045
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
5806
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5652
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
6233
107.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7592
130.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7644
132.1 IPS |
