Mac17,3
Geekbench AI Score
5299
Single Precision Score
8556
Half Precision Score
6828
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | jwjonesjr |
| Upload Date | March 21 2026 04:02 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (a) (Build 25D771280a) |
| 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% |
2271
422.3 IPS |
|
|
Image Classification (HP)
|
100% |
3695
687.1 IPS |
|
|
Image Classification (Q)
|
96% |
2495
465.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2165
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3244
52.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3598
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11160
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
20811
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17823
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2646
209.9 IPS |
|
|
Object Detection (HP)
|
97% |
4153
330.6 IPS |
|
|
Object Detection (Q)
|
94% |
2924
233.0 IPS |
|
|
Face Detection (SP)
|
100% |
4772
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8485
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
4752
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9121
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15190
117.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10559
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27471
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41339
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33780
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6002
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7177
265.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5213
192.5 IPS |
|
|
Text Classification (SP)
|
100% |
3314
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5643
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5663
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5057
87.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9408
162.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9422
162.8 IPS |
