Mac16,12
Geekbench AI Score
4889
Single Precision Score
36716
Half Precision Score
51520
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 14 2025 10:46 PM |
| Views | 3 |
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% |
2095
389.6 IPS |
|
|
Image Classification (HP)
|
100% |
17962
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
24781
4.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21932
355.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30821
499.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9917
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122675
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231131
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2419
191.9 IPS |
|
|
Object Detection (HP)
|
100% |
18574
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26264
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4145
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
43043
511.4 IPS |
|
|
Face Detection (Q)
|
100% |
61891
735.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8480
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99712
768.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
165234
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
23983
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
235050
302.2 IPS |
|
|
Style Transfer (Q)
|
96% |
319794
412.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6018
222.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52457
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85702
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3265
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5694
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5547
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4491
77.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16460
283.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18278
315.9 IPS |
