Mac17,3
Geekbench AI Score
5509
Single Precision Score
8991
Half Precision Score
6987
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mnin |
| Upload Date | March 25 2026 03:49 PM |
| Views | 6 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2255
419.4 IPS |
|
|
Image Classification (HP)
|
100% |
3691
686.4 IPS |
|
|
Image Classification (Q)
|
94% |
2293
428.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2209
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2788
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3613
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9751
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19423
22.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16764
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2690
213.4 IPS |
|
|
Object Detection (HP)
|
98% |
3984
317.0 IPS |
|
|
Object Detection (Q)
|
88% |
2683
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
5014
59.6 IPS |
|
|
Face Detection (HP)
|
100% |
9087
108.0 IPS |
|
|
Face Detection (Q)
|
100% |
4967
59.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8786
67.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11665
90.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7912
61.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25252
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
46235
59.4 IPS |
|
|
Style Transfer (Q)
|
96% |
36968
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5676
209.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10086
372.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6146
226.9 IPS |
|
|
Text Classification (SP)
|
100% |
6038
8.06 KIPS |
|
|
Text Classification (HP)
|
99% |
9971
13.3 KIPS |
|
|
Text Classification (Q)
|
92% |
9841
13.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
5177
89.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8796
151.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8474
146.4 IPS |
