Mac16,12
Geekbench AI Score
4820
Single Precision Score
36770
Half Precision Score
50948
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | May 09 2025 07:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5068b) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2091
388.8 IPS |
|
|
Image Classification (HP)
|
100% |
19053
3.54 KIPS |
|
|
Image Classification (Q)
|
97% |
25488
4.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21930
355.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30566
495.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9953
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122176
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
231124
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2458
195.0 IPS |
|
|
Object Detection (HP)
|
100% |
18279
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25385
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4274
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
43602
518.1 IPS |
|
|
Face Detection (Q)
|
100% |
62880
747.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8654
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
98475
758.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
167096
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21405
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
232260
298.6 IPS |
|
|
Style Transfer (Q)
|
96% |
294110
379.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6120
226.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49574
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82422
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2910
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5957
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5598
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4392
75.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16442
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18083
312.5 IPS |
