Mac16,12
Geekbench AI Score
8392
Single Precision Score
9435
Half Precision Score
8777
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | vinku |
| Upload Date | January 04 2026 09:21 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4166
774.8 IPS |
|
|
Image Classification (HP)
|
100% |
4479
832.9 IPS |
|
|
Image Classification (Q)
|
96% |
3984
743.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6322
102.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6638
107.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6443
104.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
21960
25.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
25044
29.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
24402
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
4266
338.4 IPS |
|
|
Object Detection (HP)
|
100% |
4893
388.1 IPS |
|
|
Object Detection (Q)
|
92% |
4415
352.4 IPS |
|
|
Face Detection (SP)
|
100% |
11681
138.8 IPS |
|
|
Face Detection (HP)
|
100% |
14473
172.0 IPS |
|
|
Face Detection (Q)
|
100% |
11768
139.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18325
141.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
20652
159.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
18330
143.2 IPS |
|
|
Style Transfer (SP)
|
100% |
49038
63.0 IPS |
|
|
Style Transfer (HP)
|
100% |
56276
72.3 IPS |
|
|
Style Transfer (Q)
|
96% |
54461
70.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9562
353.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9957
367.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9350
345.2 IPS |
|
|
Text Classification (SP)
|
100% |
3343
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5839
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5829
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2094
36.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1569
27.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1533
26.5 IPS |
