Mac16,12
Geekbench AI Score
8197
Single Precision Score
9380
Half Precision Score
8809
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | metaColin |
| Upload Date | March 28 2025 04:16 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4335
806.2 IPS |
|
|
Image Classification (HP)
|
100% |
4740
881.5 IPS |
|
|
Image Classification (Q)
|
97% |
4120
768.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4771
77.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6688
108.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7105
115.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27660
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29883
34.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
28487
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
4675
370.9 IPS |
|
|
Object Detection (HP)
|
100% |
5209
413.2 IPS |
|
|
Object Detection (Q)
|
91% |
4412
352.5 IPS |
|
|
Face Detection (SP)
|
100% |
12632
150.1 IPS |
|
|
Face Detection (HP)
|
100% |
16045
190.6 IPS |
|
|
Face Detection (Q)
|
100% |
11809
140.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20145
155.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22251
171.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
19092
149.2 IPS |
|
|
Style Transfer (SP)
|
100% |
55569
71.4 IPS |
|
|
Style Transfer (HP)
|
100% |
66612
85.6 IPS |
|
|
Style Transfer (Q)
|
96% |
62566
80.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11460
423.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12620
466.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10153
374.9 IPS |
|
|
Text Classification (SP)
|
100% |
3022
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5319
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5256
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1046
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1017
17.6 IPS |
