Mac16,12
Geekbench AI Score
4827
Single Precision Score
36753
Half Precision Score
51875
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 26 2025 03:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2101
390.8 IPS |
|
|
Image Classification (HP)
|
100% |
17390
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
25051
4.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22136
358.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30400
492.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10033
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122457
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231125
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2459
195.0 IPS |
|
|
Object Detection (HP)
|
100% |
18446
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25957
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4266
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
44253
525.8 IPS |
|
|
Face Detection (Q)
|
100% |
64066
761.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8669
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99107
763.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
168300
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21575
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
230874
296.8 IPS |
|
|
Style Transfer (Q)
|
96% |
296059
382.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6109
225.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50146
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83963
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2887
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
6139
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6319
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4403
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16596
285.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18240
315.2 IPS |
