Mac16,12
Geekbench AI Score
8963
Single Precision Score
10488
Half Precision Score
9756
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | aferreiro77 |
| Upload Date | August 19 2025 02:49 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
4457
828.9 IPS |
|
|
Image Classification (HP)
|
100% |
4898
910.9 IPS |
|
|
Image Classification (Q)
|
96% |
4560
851.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7241
117.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7879
127.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7603
123.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27968
32.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
29828
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
29481
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4586
363.8 IPS |
|
|
Object Detection (HP)
|
100% |
5251
416.5 IPS |
|
|
Object Detection (Q)
|
92% |
4846
386.8 IPS |
|
|
Face Detection (SP)
|
100% |
12827
152.4 IPS |
|
|
Face Detection (HP)
|
100% |
16679
198.2 IPS |
|
|
Face Detection (Q)
|
100% |
13480
160.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20330
156.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
21941
169.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
20003
156.2 IPS |
|
|
Style Transfer (SP)
|
100% |
55885
71.8 IPS |
|
|
Style Transfer (HP)
|
100% |
66055
84.9 IPS |
|
|
Style Transfer (Q)
|
96% |
64546
83.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11810
436.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11635
429.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10295
380.1 IPS |
|
|
Text Classification (SP)
|
100% |
3063
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5618
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5405
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1534
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1687
29.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1630
28.2 IPS |
