Mac16,12
Geekbench AI Score
4865
Single Precision Score
7955
Half Precision Score
6383
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | zachking |
| Upload Date | August 27 2025 03:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
2103
391.2 IPS |
|
|
Image Classification (HP)
|
100% |
3360
624.8 IPS |
|
|
Image Classification (Q)
|
96% |
2327
434.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2244
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3354
54.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3642
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10018
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19503
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16678
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2441
193.7 IPS |
|
|
Object Detection (HP)
|
97% |
3753
298.8 IPS |
|
|
Object Detection (Q)
|
94% |
2691
214.5 IPS |
|
|
Face Detection (SP)
|
100% |
4287
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
7691
91.4 IPS |
|
|
Face Detection (Q)
|
100% |
4445
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8622
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14655
113.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10240
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21830
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38490
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31901
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6141
226.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7077
261.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5045
186.3 IPS |
|
|
Text Classification (SP)
|
100% |
2956
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5537
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5571
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4397
75.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7241
125.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7241
125.1 IPS |
