Mac16,12
Geekbench AI Score
4758
Single Precision Score
38327
Half Precision Score
54401
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 10 2025 05:35 PM |
| Views | 2 |
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% |
2032
377.8 IPS |
|
|
Image Classification (HP)
|
100% |
18614
3.46 KIPS |
|
|
Image Classification (Q)
|
97% |
26490
4.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21992
356.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
29056
471.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9853
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123004
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232073
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2406
190.8 IPS |
|
|
Object Detection (HP)
|
100% |
19022
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
27412
2.19 KIPS |
|
|
Face Detection (SP)
|
100% |
4088
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
44410
527.7 IPS |
|
|
Face Detection (Q)
|
100% |
63960
760.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8581
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
100245
772.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
169987
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21269
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233593
300.3 IPS |
|
|
Style Transfer (Q)
|
96% |
299914
387.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6024
222.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51222
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
89108
3.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
7858
10.5 KIPS |
|
|
Text Classification (Q)
|
93% |
8367
11.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
4339
74.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17061
293.9 IPS |
|
|
Machine Translation (Q)
|
98% |
19073
329.6 IPS |
