Mac16,12
Geekbench AI Score
4851
Single Precision Score
36532
Half Precision Score
52319
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 09:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 4.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2036
378.7 IPS |
|
|
Image Classification (HP)
|
100% |
16961
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
26113
4.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2031
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22199
359.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30401
492.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9954
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122730
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231767
271.6 IPS |
|
|
Object Detection (SP)
|
100% |
2402
190.5 IPS |
|
|
Object Detection (HP)
|
100% |
18268
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26752
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4135
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
42803
508.6 IPS |
|
|
Face Detection (Q)
|
100% |
63725
757.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8393
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
100339
773.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
168646
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
23537
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
232924
299.4 IPS |
|
|
Style Transfer (Q)
|
96% |
319688
412.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6006
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52315
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84574
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3311
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5781
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5856
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4501
77.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16580
285.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18351
317.1 IPS |
