Mac16,12
Geekbench AI Score
2709
Single Precision Score
22516
Half Precision Score
31790
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 07 2025 02:15 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
11422
2.12 KIPS |
|
|
Image Classification (Q)
|
97% |
16461
3.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13283
215.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
17970
291.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5744
6.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
67552
78.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
126496
148.3 IPS |
|
|
Object Detection (SP)
|
100% |
1301
103.2 IPS |
|
|
Object Detection (HP)
|
100% |
12045
955.4 IPS |
|
|
Object Detection (Q)
|
91% |
16602
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
2228
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
28030
333.1 IPS |
|
|
Face Detection (Q)
|
100% |
40837
485.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4767
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
61171
471.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
104182
814.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11952
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
150104
193.0 IPS |
|
|
Style Transfer (Q)
|
96% |
194898
251.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3421
126.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32192
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54868
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
1753
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3595
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3592
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2680
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9108
156.9 IPS |
|
|
Machine Translation (Q)
|
98% |
10384
179.5 IPS |
