Mac16,12
Geekbench AI Score
9226
Single Precision Score
10360
Half Precision Score
9685
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | CrazyAndyLUX |
| Upload Date | May 19 2025 10:02 PM |
| Views | 3 |
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% |
4408
819.7 IPS |
|
|
Image Classification (HP)
|
100% |
4752
883.6 IPS |
|
|
Image Classification (Q)
|
96% |
4514
843.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7057
114.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7660
124.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7579
122.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27561
32.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
29719
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29378
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
4530
359.3 IPS |
|
|
Object Detection (HP)
|
100% |
5159
409.2 IPS |
|
|
Object Detection (Q)
|
92% |
4745
378.7 IPS |
|
|
Face Detection (SP)
|
100% |
12641
150.2 IPS |
|
|
Face Detection (HP)
|
100% |
16471
195.7 IPS |
|
|
Face Detection (Q)
|
100% |
13181
156.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20274
156.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21931
169.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
20062
156.7 IPS |
|
|
Style Transfer (SP)
|
100% |
55634
71.5 IPS |
|
|
Style Transfer (HP)
|
100% |
65810
84.6 IPS |
|
|
Style Transfer (Q)
|
96% |
64113
82.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11545
426.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11533
425.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10338
381.7 IPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5406
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5371
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2364
40.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1723
29.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1619
28.0 IPS |
