Mac16,12
Geekbench AI Score
9429
Single Precision Score
10789
Half Precision Score
10390
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | October 01 2025 03:19 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4666
867.7 IPS |
|
|
Image Classification (HP)
|
100% |
5047
938.7 IPS |
|
|
Image Classification (Q)
|
96% |
4637
865.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7046
114.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8003
129.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7656
124.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
26967
31.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
30989
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30287
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
4663
369.9 IPS |
|
|
Object Detection (HP)
|
100% |
5289
419.5 IPS |
|
|
Object Detection (Q)
|
92% |
4783
381.8 IPS |
|
|
Face Detection (SP)
|
100% |
12515
148.7 IPS |
|
|
Face Detection (HP)
|
100% |
16664
198.0 IPS |
|
|
Face Detection (Q)
|
100% |
13455
159.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19842
152.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22249
171.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
20294
158.5 IPS |
|
|
Style Transfer (SP)
|
100% |
55215
71.0 IPS |
|
|
Style Transfer (HP)
|
100% |
67075
86.2 IPS |
|
|
Style Transfer (Q)
|
96% |
64689
83.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11408
421.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12499
461.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10343
381.9 IPS |
|
|
Text Classification (SP)
|
100% |
3375
4.51 KIPS |
|
|
Text Classification (HP)
|
99% |
5741
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5675
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2546
43.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1810
31.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2752
47.6 IPS |
