Mac17,2
Geekbench AI Score
5346
Single Precision Score
41623
Half Precision Score
57523
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | m3the01 |
| Upload Date | December 12 2025 06:28 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2300
427.7 IPS |
|
|
Image Classification (HP)
|
100% |
18533
3.45 KIPS |
|
|
Image Classification (Q)
|
97% |
24374
4.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2420
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24333
394.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32758
531.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11234
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
176664
206.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
333127
390.4 IPS |
|
|
Object Detection (SP)
|
100% |
2677
212.4 IPS |
|
|
Object Detection (HP)
|
100% |
18045
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26778
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4873
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
46889
557.1 IPS |
|
|
Face Detection (Q)
|
100% |
66381
788.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9239
71.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
111262
857.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
176577
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
27671
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
270699
348.0 IPS |
|
|
Style Transfer (Q)
|
96% |
373659
482.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5927
218.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67655
2.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101460
3.75 KIPS |
|
|
Text Classification (SP)
|
100% |
3047
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
6440
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6790
9.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5064
87.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17646
303.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18458
319.0 IPS |
