Mac16,12
Geekbench AI Score
4933
Single Precision Score
36149
Half Precision Score
50770
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 14 2025 08:14 PM |
| Views | 4 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2114
393.1 IPS |
|
|
Image Classification (HP)
|
100% |
17438
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
23464
4.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21566
349.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30394
492.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10067
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122518
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231882
271.8 IPS |
|
|
Object Detection (SP)
|
100% |
2451
194.4 IPS |
|
|
Object Detection (HP)
|
100% |
17785
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
26767
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4235
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
42903
509.8 IPS |
|
|
Face Detection (Q)
|
100% |
59659
708.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8494
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99404
765.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
161692
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24251
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
234305
301.2 IPS |
|
|
Style Transfer (Q)
|
96% |
319340
412.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6102
225.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50969
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83065
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3221
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5573
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5527
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4554
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16383
282.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18177
314.1 IPS |
