Mac17,2
Geekbench AI Score
5612
Single Precision Score
9060
Half Precision Score
6992
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | checcobai |
| Upload Date | March 04 2026 09:05 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5223i) |
| 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% |
2268
421.8 IPS |
|
|
Image Classification (HP)
|
100% |
3767
700.5 IPS |
|
|
Image Classification (Q)
|
94% |
2229
416.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2458
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3024
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3989
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10017
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19376
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16684
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2741
217.5 IPS |
|
|
Object Detection (HP)
|
98% |
4189
333.4 IPS |
|
|
Object Detection (Q)
|
88% |
2674
214.3 IPS |
|
|
Face Detection (SP)
|
100% |
5177
61.5 IPS |
|
|
Face Detection (HP)
|
100% |
9413
111.9 IPS |
|
|
Face Detection (Q)
|
100% |
5080
60.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8793
67.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11413
88.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7948
62.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25499
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
46333
59.6 IPS |
|
|
Style Transfer (Q)
|
96% |
36925
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5822
215.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10530
388.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6210
229.3 IPS |
|
|
Text Classification (SP)
|
100% |
5858
7.82 KIPS |
|
|
Text Classification (HP)
|
99% |
9287
12.4 KIPS |
|
|
Text Classification (Q)
|
93% |
9200
12.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
5119
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8285
142.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8272
143.0 IPS |
