Mac16,12
Geekbench AI Score
8809
Single Precision Score
11256
Half Precision Score
9693
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | August 30 2025 11:35 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5346a) |
| 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 | 4.34 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4455
828.5 IPS |
|
|
Image Classification (HP)
|
100% |
4930
916.7 IPS |
|
|
Image Classification (Q)
|
96% |
4349
812.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6999
113.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7812
126.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7596
123.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
26710
31.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
30888
36.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
30206
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4465
354.2 IPS |
|
|
Object Detection (HP)
|
100% |
5175
410.5 IPS |
|
|
Object Detection (Q)
|
92% |
4642
370.5 IPS |
|
|
Face Detection (SP)
|
100% |
12419
147.6 IPS |
|
|
Face Detection (HP)
|
100% |
16175
192.2 IPS |
|
|
Face Detection (Q)
|
100% |
13184
156.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19637
151.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22329
172.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
20023
156.4 IPS |
|
|
Style Transfer (SP)
|
100% |
54749
70.4 IPS |
|
|
Style Transfer (HP)
|
100% |
66638
85.7 IPS |
|
|
Style Transfer (Q)
|
96% |
64774
83.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11265
416.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11534
425.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10219
377.3 IPS |
|
|
Text Classification (SP)
|
100% |
3262
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5547
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5469
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1543
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3444
59.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1655
28.6 IPS |
