Mac16,12
Geekbench AI Score
9678
Single Precision Score
10107
Half Precision Score
9499
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | alessaba |
| Upload Date | April 10 2025 09:18 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5042g) |
| 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% |
4363
811.3 IPS |
|
|
Image Classification (HP)
|
100% |
4701
874.2 IPS |
|
|
Image Classification (Q)
|
96% |
4349
812.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7140
115.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7713
125.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7579
122.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27811
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
29698
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29508
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
4557
361.4 IPS |
|
|
Object Detection (HP)
|
100% |
5115
405.7 IPS |
|
|
Object Detection (Q)
|
92% |
4680
373.6 IPS |
|
|
Face Detection (SP)
|
100% |
12632
150.1 IPS |
|
|
Face Detection (HP)
|
100% |
16496
196.0 IPS |
|
|
Face Detection (Q)
|
100% |
13324
158.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20541
158.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
21861
168.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
20140
157.3 IPS |
|
|
Style Transfer (SP)
|
100% |
56455
72.6 IPS |
|
|
Style Transfer (HP)
|
100% |
66610
85.6 IPS |
|
|
Style Transfer (Q)
|
96% |
64567
83.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11623
429.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11337
418.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10303
380.4 IPS |
|
|
Text Classification (SP)
|
100% |
2871
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
5192
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5319
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3737
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1429
24.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1384
23.9 IPS |
