Mac17,3
Geekbench AI Score
5573
Single Precision Score
9040
Half Precision Score
6965
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | asvuep |
| Upload Date | April 09 2026 09:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| Model | Mac17,3 |
| Model ID | Mac17,3 |
| Motherboard | Mac17,3 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2216
412.2 IPS |
|
|
Image Classification (HP)
|
100% |
3847
715.5 IPS |
|
|
Image Classification (Q)
|
94% |
2195
410.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2331
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2874
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3690
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9976
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19514
22.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
16787
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2729
216.5 IPS |
|
|
Object Detection (HP)
|
98% |
4013
319.3 IPS |
|
|
Object Detection (Q)
|
88% |
2596
208.1 IPS |
|
|
Face Detection (SP)
|
100% |
5109
60.7 IPS |
|
|
Face Detection (HP)
|
100% |
9196
109.3 IPS |
|
|
Face Detection (Q)
|
100% |
5001
59.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8807
67.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11345
87.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7867
61.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25361
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
46221
59.4 IPS |
|
|
Style Transfer (Q)
|
96% |
36977
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5837
215.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10255
378.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6307
232.9 IPS |
|
|
Text Classification (SP)
|
99% |
6028
8.05 KIPS |
|
|
Text Classification (HP)
|
99% |
10173
13.6 KIPS |
|
|
Text Classification (Q)
|
93% |
9915
13.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
5127
88.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8374
144.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8371
144.7 IPS |
