Mac16,12
Geekbench AI Score
4800
Single Precision Score
36540
Half Precision Score
52027
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Siltant |
| Upload Date | April 10 2025 08:18 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
16848
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
25317
4.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21923
355.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30436
493.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10049
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122723
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231627
271.5 IPS |
|
|
Object Detection (SP)
|
100% |
2433
193.0 IPS |
|
|
Object Detection (HP)
|
100% |
18361
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26255
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4180
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
43828
520.8 IPS |
|
|
Face Detection (Q)
|
100% |
63957
759.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8591
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99687
768.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
168750
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21566
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232930
299.4 IPS |
|
|
Style Transfer (Q)
|
96% |
296461
382.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6132
226.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49468
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85723
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6117
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6211
8.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4400
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16557
285.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18204
314.6 IPS |
