Mac16,12
Geekbench AI Score
4867
Single Precision Score
36477
Half Precision Score
51485
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 13 2025 08:18 AM |
| Views | 2 |
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% |
2090
388.8 IPS |
|
|
Image Classification (HP)
|
100% |
17606
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
24489
4.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21790
353.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30925
501.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10031
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123044
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
231872
271.8 IPS |
|
|
Object Detection (SP)
|
100% |
2429
192.7 IPS |
|
|
Object Detection (HP)
|
100% |
18140
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26422
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4108
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
43026
511.2 IPS |
|
|
Face Detection (Q)
|
100% |
61961
736.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8437
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99706
768.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
163642
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24000
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
232554
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
321696
415.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5910
218.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52018
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86309
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3291
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5708
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5590
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4380
75.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16445
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17922
309.7 IPS |
