Mac16,12
Geekbench AI Score
4855
Single Precision Score
36462
Half Precision Score
50745
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 18 2025 06:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2101
390.6 IPS |
|
|
Image Classification (HP)
|
100% |
17247
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
23664
4.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22044
357.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30156
488.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9950
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122532
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231376
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2466
195.6 IPS |
|
|
Object Detection (HP)
|
100% |
18207
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25882
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4379
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
43879
521.4 IPS |
|
|
Face Detection (Q)
|
100% |
63485
754.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8720
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98946
762.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
170079
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21788
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
230548
296.4 IPS |
|
|
Style Transfer (Q)
|
96% |
295787
381.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6141
226.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49335
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83340
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2912
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5973
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5463
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4411
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16606
286.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18221
314.9 IPS |
