Mac16,12
Geekbench AI Score
4429
Single Precision Score
36806
Half Precision Score
53403
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Siltant |
| Upload Date | April 15 2025 07:02 PM |
| Views | 9 |
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 | 3.94 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1963
365.1 IPS |
|
|
Image Classification (HP)
|
100% |
19203
3.57 KIPS |
|
|
Image Classification (Q)
|
97% |
28980
5.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1836
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22300
361.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30490
494.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8288
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
113293
132.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
223667
262.2 IPS |
|
|
Object Detection (SP)
|
100% |
2242
177.8 IPS |
|
|
Object Detection (HP)
|
100% |
19112
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
26447
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4046
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
42475
504.7 IPS |
|
|
Face Detection (Q)
|
100% |
65964
783.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7729
59.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
91720
706.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
162073
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
19537
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
227554
292.5 IPS |
|
|
Style Transfer (Q)
|
96% |
291565
376.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5604
206.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48837
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82923
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
7009
9.35 KIPS |
|
|
Text Classification (Q)
|
93% |
7360
9.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4236
73.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16216
279.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18974
327.9 IPS |
