Mac16,12
Geekbench AI Score
9056
Single Precision Score
10375
Half Precision Score
9694
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Exotic |
| Upload Date | September 07 2025 02:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4111
764.5 IPS |
|
|
Image Classification (HP)
|
100% |
4316
802.6 IPS |
|
|
Image Classification (Q)
|
96% |
4028
752.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6252
101.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6640
107.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6402
103.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
22866
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
24112
28.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23949
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
4306
341.6 IPS |
|
|
Object Detection (HP)
|
100% |
4762
377.8 IPS |
|
|
Object Detection (Q)
|
92% |
4336
346.1 IPS |
|
|
Face Detection (SP)
|
100% |
11596
137.8 IPS |
|
|
Face Detection (HP)
|
100% |
14334
170.3 IPS |
|
|
Face Detection (Q)
|
100% |
11606
137.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18666
143.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
20094
154.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
18513
144.6 IPS |
|
|
Style Transfer (SP)
|
100% |
49908
64.2 IPS |
|
|
Style Transfer (HP)
|
100% |
55199
71.0 IPS |
|
|
Style Transfer (Q)
|
96% |
53770
69.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9835
363.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10267
379.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8845
326.6 IPS |
|
|
Text Classification (SP)
|
100% |
2981
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5469
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5435
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4629
79.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4922
84.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4929
85.2 IPS |
