Mac16,12
Geekbench AI Score
8070
Single Precision Score
9070
Half Precision Score
9261
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 09 2025 11:15 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
4074
757.6 IPS |
|
|
Image Classification (HP)
|
100% |
4301
799.8 IPS |
|
|
Image Classification (Q)
|
96% |
4040
754.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6231
101.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6568
106.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6360
103.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
22754
26.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
24006
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23870
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
4349
344.9 IPS |
|
|
Object Detection (HP)
|
100% |
4690
372.0 IPS |
|
|
Object Detection (Q)
|
92% |
4292
342.6 IPS |
|
|
Face Detection (SP)
|
100% |
11816
140.4 IPS |
|
|
Face Detection (HP)
|
100% |
14401
171.1 IPS |
|
|
Face Detection (Q)
|
100% |
11722
139.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18795
144.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19888
153.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
18312
143.0 IPS |
|
|
Style Transfer (SP)
|
100% |
49807
64.0 IPS |
|
|
Style Transfer (HP)
|
100% |
55191
70.9 IPS |
|
|
Style Transfer (Q)
|
96% |
53845
69.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9823
362.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9971
368.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8951
330.5 IPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5395
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5403
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1444
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1394
24.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3157
54.6 IPS |
