Mac16,12
Geekbench AI Score
8399
Single Precision Score
9460
Half Precision Score
9057
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | anthonynelzin |
| Upload Date | March 12 2025 02:18 PM |
| Views | 4 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4342
807.5 IPS |
|
|
Image Classification (HP)
|
100% |
4765
886.1 IPS |
|
|
Image Classification (Q)
|
97% |
4103
765.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4820
78.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6700
108.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7216
117.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27923
32.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30008
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
28509
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
4674
370.8 IPS |
|
|
Object Detection (HP)
|
100% |
5208
413.1 IPS |
|
|
Object Detection (Q)
|
91% |
4397
351.4 IPS |
|
|
Face Detection (SP)
|
100% |
12741
151.4 IPS |
|
|
Face Detection (HP)
|
100% |
16238
192.9 IPS |
|
|
Face Detection (Q)
|
100% |
11938
141.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20149
155.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22212
171.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
18973
148.3 IPS |
|
|
Style Transfer (SP)
|
100% |
54749
70.4 IPS |
|
|
Style Transfer (HP)
|
100% |
66572
85.6 IPS |
|
|
Style Transfer (Q)
|
96% |
62861
81.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11767
434.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12910
476.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10269
379.2 IPS |
|
|
Text Classification (SP)
|
100% |
3059
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5318
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5538
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1265
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1237
21.4 IPS |
