Mac16,12
Geekbench AI Score
2715
Single Precision Score
4345
Half Precision Score
3408
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 07 2025 02:24 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 2.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1104
205.2 IPS |
|
|
Image Classification (HP)
|
100% |
1799
334.6 IPS |
|
|
Image Classification (Q)
|
96% |
1174
219.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1894
30.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1916
31.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5747
6.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
10472
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
8898
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1308
103.8 IPS |
|
|
Object Detection (HP)
|
97% |
2037
162.1 IPS |
|
|
Object Detection (Q)
|
94% |
1422
113.3 IPS |
|
|
Face Detection (SP)
|
100% |
2230
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
3912
46.5 IPS |
|
|
Face Detection (Q)
|
100% |
2288
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4754
36.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
7875
60.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
5399
42.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11903
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20707
26.6 IPS |
|
|
Style Transfer (Q)
|
96% |
16911
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3429
126.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3975
146.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2756
101.8 IPS |
|
|
Text Classification (SP)
|
100% |
1766
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (Q)
|
93% |
2945
3.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2667
45.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4392
75.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4389
75.9 IPS |
