Mac16,12
Geekbench AI Score
4807
Single Precision Score
36780
Half Precision Score
52837
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 24 2025 03:59 PM |
| Views | 3 |
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% |
2085
387.8 IPS |
|
|
Image Classification (HP)
|
100% |
17639
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
27554
5.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21952
355.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30511
494.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10008
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122575
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231064
270.8 IPS |
|
|
Object Detection (SP)
|
100% |
2448
194.2 IPS |
|
|
Object Detection (HP)
|
100% |
18367
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26209
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4180
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
44076
523.7 IPS |
|
|
Face Detection (Q)
|
100% |
65968
783.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8574
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99101
763.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
169833
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21462
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233836
300.6 IPS |
|
|
Style Transfer (Q)
|
96% |
298754
385.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6068
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49746
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83666
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2912
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
6169
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6477
8.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4422
76.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16582
285.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18367
317.4 IPS |
