Mac16,12
Geekbench AI Score
4932
Single Precision Score
8012
Half Precision Score
6391
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | sourxxbh |
| Upload Date | September 25 2025 05:13 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2067
384.3 IPS |
|
|
Image Classification (HP)
|
100% |
3395
631.3 IPS |
|
|
Image Classification (Q)
|
96% |
2306
430.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3188
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3496
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10062
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19405
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16608
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2418
191.8 IPS |
|
|
Object Detection (HP)
|
97% |
3800
302.5 IPS |
|
|
Object Detection (Q)
|
94% |
2684
213.9 IPS |
|
|
Face Detection (SP)
|
100% |
4242
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
7602
90.3 IPS |
|
|
Face Detection (Q)
|
100% |
4394
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8504
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13971
108.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9807
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24418
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38625
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31693
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6090
224.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7163
264.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4996
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
3359
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
5803
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5829
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4520
77.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8012
138.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7963
137.6 IPS |
