Mac16,12
Geekbench AI Score
9290
Single Precision Score
10452
Half Precision Score
9834
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | December 24 2025 03:27 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | Mac16,12 |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4457
828.8 IPS |
|
|
Image Classification (HP)
|
100% |
4900
911.2 IPS |
|
|
Image Classification (Q)
|
96% |
4357
813.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7105
115.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7687
124.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7636
123.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27142
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30977
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30073
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
4641
368.1 IPS |
|
|
Object Detection (HP)
|
100% |
5217
413.8 IPS |
|
|
Object Detection (Q)
|
92% |
4778
381.4 IPS |
|
|
Face Detection (SP)
|
100% |
12782
151.9 IPS |
|
|
Face Detection (HP)
|
100% |
15909
189.0 IPS |
|
|
Face Detection (Q)
|
100% |
13592
161.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20041
154.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
21928
168.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
19999
156.2 IPS |
|
|
Style Transfer (SP)
|
100% |
55683
71.6 IPS |
|
|
Style Transfer (HP)
|
100% |
67371
86.6 IPS |
|
|
Style Transfer (Q)
|
96% |
65526
84.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11322
418.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11567
427.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10294
380.1 IPS |
|
|
Text Classification (SP)
|
100% |
3286
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5686
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5872
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2263
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1655
28.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1644
28.4 IPS |
