Mac16,12
Geekbench AI Score
9218
Single Precision Score
11453
Half Precision Score
9975
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | geekgrunt |
| Upload Date | April 29 2025 08:55 PM |
| Views | 10 |
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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4530
842.5 IPS |
|
|
Image Classification (HP)
|
100% |
4945
919.6 IPS |
|
|
Image Classification (Q)
|
96% |
4674
872.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7112
115.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7750
125.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7684
124.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27756
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29943
34.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
29191
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
4676
370.9 IPS |
|
|
Object Detection (HP)
|
100% |
5201
412.6 IPS |
|
|
Object Detection (Q)
|
92% |
4769
380.7 IPS |
|
|
Face Detection (SP)
|
100% |
12395
147.3 IPS |
|
|
Face Detection (HP)
|
100% |
15888
188.8 IPS |
|
|
Face Detection (Q)
|
100% |
12756
151.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20560
158.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22781
175.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
20883
163.3 IPS |
|
|
Style Transfer (SP)
|
100% |
56548
72.7 IPS |
|
|
Style Transfer (HP)
|
100% |
67439
86.7 IPS |
|
|
Style Transfer (Q)
|
96% |
64582
83.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12133
448.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13271
490.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11474
423.7 IPS |
|
|
Text Classification (SP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5438
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5420
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2024
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3696
63.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1824
31.5 IPS |
