Mac16,12
Geekbench AI Score
4618
Single Precision Score
36581
Half Precision Score
52203
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | December 12 2025 10:06 PM |
| Views | 8 |
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 | 3.97 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1913
355.7 IPS |
|
|
Image Classification (HP)
|
100% |
18761
3.49 KIPS |
|
|
Image Classification (Q)
|
97% |
27464
5.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1904
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22319
361.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30314
491.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9505
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122052
142.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
231098
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2326
184.5 IPS |
|
|
Object Detection (HP)
|
100% |
18089
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26255
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
3881
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
43024
511.2 IPS |
|
|
Face Detection (Q)
|
100% |
62139
738.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8192
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98951
762.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
170151
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
22612
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
231402
297.5 IPS |
|
|
Style Transfer (Q)
|
96% |
317237
409.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5509
203.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51898
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88069
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3365
4.49 KIPS |
|
|
Text Classification (HP)
|
99% |
5921
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5821
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4111
70.8 IPS |
|
|
Machine Translation (HP)
|
100% |
15333
264.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17304
299.0 IPS |
