Mac17,4
Geekbench AI Score
5264
Single Precision Score
8542
Half Precision Score
6798
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Skinsfantn |
| Upload Date | March 12 2026 02:10 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,4 |
| Model ID | Mac17,4 |
| Motherboard | Mac17,4 |
| 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% |
2275
423.1 IPS |
|
|
Image Classification (HP)
|
100% |
3680
684.4 IPS |
|
|
Image Classification (Q)
|
96% |
2510
468.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2187
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3247
52.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3543
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11345
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20858
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17861
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2665
211.4 IPS |
|
|
Object Detection (HP)
|
97% |
4159
331.1 IPS |
|
|
Object Detection (Q)
|
94% |
2926
233.2 IPS |
|
|
Face Detection (SP)
|
100% |
4748
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
8464
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4755
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9120
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15229
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10566
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27506
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41392
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33834
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5908
218.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7133
263.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5098
188.2 IPS |
|
|
Text Classification (SP)
|
100% |
3052
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5536
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5559
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5065
87.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9471
163.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9423
162.8 IPS |
