Mac16,12
Geekbench AI Score
4920
Single Precision Score
36121
Half Precision Score
51097
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 25 2025 05:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
2093
389.3 IPS |
|
|
Image Classification (HP)
|
100% |
17136
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
23849
4.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21659
351.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
29918
485.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10043
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122631
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231900
271.8 IPS |
|
|
Object Detection (SP)
|
100% |
2429
192.7 IPS |
|
|
Object Detection (HP)
|
100% |
17713
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25872
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4220
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
43129
512.5 IPS |
|
|
Face Detection (Q)
|
100% |
60622
720.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8500
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99185
764.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
167002
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
23892
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232348
298.7 IPS |
|
|
Style Transfer (Q)
|
96% |
319660
412.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6082
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51159
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84725
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3271
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5606
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5605
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4556
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16456
283.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18442
318.7 IPS |
