Mac16,12
Geekbench AI Score
8863
Single Precision Score
10488
Half Precision Score
9701
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | August 22 2025 12:00 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5338b) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4439
825.5 IPS |
|
|
Image Classification (HP)
|
100% |
4778
888.6 IPS |
|
|
Image Classification (Q)
|
96% |
4388
819.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6991
113.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7902
128.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7576
122.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
26924
31.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
30908
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30032
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
4496
356.6 IPS |
|
|
Object Detection (HP)
|
100% |
5078
402.8 IPS |
|
|
Object Detection (Q)
|
92% |
4721
376.8 IPS |
|
|
Face Detection (SP)
|
100% |
12352
146.8 IPS |
|
|
Face Detection (HP)
|
100% |
16357
194.4 IPS |
|
|
Face Detection (Q)
|
100% |
13321
158.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19803
152.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22067
170.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
20013
156.3 IPS |
|
|
Style Transfer (SP)
|
100% |
54894
70.6 IPS |
|
|
Style Transfer (HP)
|
100% |
66445
85.4 IPS |
|
|
Style Transfer (Q)
|
96% |
64055
82.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11133
411.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11318
417.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10135
374.3 IPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5515
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5536
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1638
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1816
31.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1635
28.3 IPS |
