Mac16,12
Geekbench AI Score
4929
Single Precision Score
36865
Half Precision Score
52405
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | asymptotepmo |
| Upload Date | December 05 2025 08:27 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2102
390.9 IPS |
|
|
Image Classification (HP)
|
100% |
17913
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
27089
5.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21797
353.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
29656
480.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9982
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123061
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
232277
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2449
194.2 IPS |
|
|
Object Detection (HP)
|
100% |
18232
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26280
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4276
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
42793
508.5 IPS |
|
|
Face Detection (Q)
|
100% |
61456
730.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8536
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99774
768.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
165179
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24036
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
233773
300.5 IPS |
|
|
Style Transfer (Q)
|
96% |
321501
414.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6092
224.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51804
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85028
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3277
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6047
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
6086
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4511
77.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16927
291.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18863
326.0 IPS |
