Mac16,12
Geekbench AI Score
8428
Single Precision Score
9519
Half Precision Score
8762
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | vinku |
| Upload Date | January 04 2026 09:18 PM |
| Views | 8 |
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% |
4189
779.0 IPS |
|
|
Image Classification (HP)
|
100% |
4451
827.8 IPS |
|
|
Image Classification (Q)
|
96% |
3990
745.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6235
101.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6694
108.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6610
107.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
21957
25.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
25018
29.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
24464
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
4365
346.3 IPS |
|
|
Object Detection (HP)
|
100% |
4683
371.4 IPS |
|
|
Object Detection (Q)
|
92% |
4323
345.1 IPS |
|
|
Face Detection (SP)
|
100% |
11764
139.8 IPS |
|
|
Face Detection (HP)
|
100% |
14449
171.7 IPS |
|
|
Face Detection (Q)
|
100% |
11863
141.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18388
141.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
20219
155.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
18370
143.5 IPS |
|
|
Style Transfer (SP)
|
100% |
48951
62.9 IPS |
|
|
Style Transfer (HP)
|
100% |
56411
72.5 IPS |
|
|
Style Transfer (Q)
|
96% |
54541
70.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9510
351.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10569
390.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8781
324.2 IPS |
|
|
Text Classification (SP)
|
100% |
3353
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
5796
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5812
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2141
36.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1734
29.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1577
27.3 IPS |
