Mac17,2
Geekbench AI Score
5321
Single Precision Score
8645
Half Precision Score
6904
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Kingtona123 |
| Upload Date | February 24 2026 11:22 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
2308
429.3 IPS |
|
|
Image Classification (HP)
|
100% |
3648
678.3 IPS |
|
|
Image Classification (Q)
|
96% |
2514
469.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2430
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3568
57.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3891
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11006
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20765
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17870
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2685
213.0 IPS |
|
|
Object Detection (HP)
|
97% |
4174
332.3 IPS |
|
|
Object Detection (Q)
|
94% |
2953
235.4 IPS |
|
|
Face Detection (SP)
|
100% |
4813
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
8550
101.6 IPS |
|
|
Face Detection (Q)
|
100% |
4811
57.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9133
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15230
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10631
83.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27350
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41464
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33851
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5984
221.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7159
264.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5181
191.3 IPS |
|
|
Text Classification (SP)
|
100% |
3067
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5682
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5581
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4976
85.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9414
162.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9527
164.6 IPS |
