Mac16,12
Geekbench AI Score
8069
Single Precision Score
9439
Half Precision Score
9369
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | vinku |
| Upload Date | January 04 2026 09:23 PM |
| Views | 7 |
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% |
4158
773.3 IPS |
|
|
Image Classification (HP)
|
100% |
4611
857.5 IPS |
|
|
Image Classification (Q)
|
96% |
4079
761.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6241
101.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6704
108.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6429
104.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
21942
25.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
25039
29.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
24495
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
4290
340.3 IPS |
|
|
Object Detection (HP)
|
100% |
4672
370.6 IPS |
|
|
Object Detection (Q)
|
92% |
4334
346.0 IPS |
|
|
Face Detection (SP)
|
100% |
11661
138.6 IPS |
|
|
Face Detection (HP)
|
100% |
14953
177.7 IPS |
|
|
Face Detection (Q)
|
100% |
11784
140.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18218
140.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19938
153.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
18429
143.9 IPS |
|
|
Style Transfer (SP)
|
100% |
48783
62.7 IPS |
|
|
Style Transfer (HP)
|
100% |
56109
72.1 IPS |
|
|
Style Transfer (Q)
|
96% |
54273
70.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9631
355.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10096
372.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8760
323.5 IPS |
|
|
Text Classification (SP)
|
100% |
3377
4.51 KIPS |
|
|
Text Classification (HP)
|
99% |
5839
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5758
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1422
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1575
27.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3151
54.4 IPS |
