Mac17,3
Geekbench AI Score
5253
Single Precision Score
41913
Half Precision Score
58739
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 09 2026 06:23 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
2247
417.9 IPS |
|
|
Image Classification (HP)
|
100% |
18517
3.44 KIPS |
|
|
Image Classification (Q)
|
97% |
25614
4.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2187
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23601
382.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32544
527.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11027
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177685
207.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
335509
393.2 IPS |
|
|
Object Detection (SP)
|
100% |
2665
211.4 IPS |
|
|
Object Detection (HP)
|
100% |
18793
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
27445
2.19 KIPS |
|
|
Face Detection (SP)
|
100% |
4785
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
47221
561.1 IPS |
|
|
Face Detection (Q)
|
100% |
67734
804.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9083
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
111546
859.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
183821
1.44 KIPS |
|
|
Style Transfer (SP)
|
100% |
27391
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
271168
348.6 IPS |
|
|
Style Transfer (Q)
|
96% |
373459
481.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6008
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66772
2.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99863
3.69 KIPS |
|
|
Text Classification (SP)
|
100% |
3062
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
6732
8.99 KIPS |
|
|
Text Classification (Q)
|
93% |
7246
9.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
5067
87.3 IPS |
|
|
Machine Translation (HP)
|
100% |
17859
307.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18935
327.2 IPS |
