Mac16,12
Geekbench AI Score
8272
Single Precision Score
9480
Half Precision Score
8512
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 05 2025 01:06 PM |
| Views | 6 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4060
755.0 IPS |
|
|
Image Classification (HP)
|
100% |
4287
797.2 IPS |
|
|
Image Classification (Q)
|
96% |
4050
756.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6233
101.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6529
105.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6330
102.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
22803
26.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
24074
28.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23877
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
4720
374.4 IPS |
|
|
Object Detection (Q)
|
92% |
4316
344.5 IPS |
|
|
Face Detection (SP)
|
100% |
11573
137.5 IPS |
|
|
Face Detection (HP)
|
100% |
14274
169.6 IPS |
|
|
Face Detection (Q)
|
100% |
11320
134.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18745
144.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19914
153.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
18545
144.9 IPS |
|
|
Style Transfer (SP)
|
100% |
49714
63.9 IPS |
|
|
Style Transfer (HP)
|
100% |
55128
70.9 IPS |
|
|
Style Transfer (Q)
|
96% |
53904
69.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9895
365.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10062
371.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9143
337.6 IPS |
|
|
Text Classification (SP)
|
100% |
2978
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5398
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5372
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1859
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2166
37.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1361
23.5 IPS |
