Mac17,2
Geekbench AI Score
5273
Single Precision Score
8599
Half Precision Score
6806
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | oiskin |
| Upload Date | December 22 2025 10:07 PM |
| Views | 4 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2231
415.0 IPS |
|
|
Image Classification (HP)
|
100% |
3564
662.8 IPS |
|
|
Image Classification (Q)
|
96% |
2483
463.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2464
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3612
58.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3818
61.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11239
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20679
24.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17307
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2613
207.3 IPS |
|
|
Object Detection (HP)
|
97% |
4146
330.1 IPS |
|
|
Object Detection (Q)
|
94% |
2878
229.4 IPS |
|
|
Face Detection (SP)
|
100% |
4602
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
8293
98.5 IPS |
|
|
Face Detection (Q)
|
100% |
4714
56.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9069
69.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14971
115.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10228
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26810
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41263
53.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33727
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6072
224.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7460
275.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5200
192.0 IPS |
|
|
Text Classification (SP)
|
100% |
3029
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5691
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5616
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5009
86.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9219
159.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9519
164.5 IPS |
