Mac16,12
Geekbench AI Score
8064
Single Precision Score
9610
Half Precision Score
9146
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | tmsteere |
| Upload Date | April 21 2025 11:04 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
4082
759.1 IPS |
|
|
Image Classification (HP)
|
100% |
4340
807.1 IPS |
|
|
Image Classification (Q)
|
96% |
4014
749.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6171
100.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6553
106.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6359
103.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
22787
26.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
24238
28.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
23670
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
4278
339.3 IPS |
|
|
Object Detection (HP)
|
100% |
4711
373.7 IPS |
|
|
Object Detection (Q)
|
92% |
4292
342.6 IPS |
|
|
Face Detection (SP)
|
100% |
11430
135.8 IPS |
|
|
Face Detection (HP)
|
100% |
14576
173.2 IPS |
|
|
Face Detection (Q)
|
100% |
11695
139.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18831
145.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
20475
157.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
18769
146.8 IPS |
|
|
Style Transfer (SP)
|
100% |
49905
64.2 IPS |
|
|
Style Transfer (HP)
|
100% |
56243
72.3 IPS |
|
|
Style Transfer (Q)
|
96% |
54317
70.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9803
362.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10579
390.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9249
341.5 IPS |
|
|
Text Classification (SP)
|
100% |
3011
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5448
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5635
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1495
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2140
36.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2542
43.9 IPS |
