Mac16,13
Geekbench AI Score
9200
Single Precision Score
11410
Half Precision Score
9893
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | March 30 2025 11:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E247) |
| Model | Mac16,13 |
| Model ID | Mac16,13 |
| Motherboard | Mac16,13 |
| 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% |
4520
840.5 IPS |
|
|
Image Classification (HP)
|
100% |
4892
909.8 IPS |
|
|
Image Classification (Q)
|
96% |
4571
853.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7061
114.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7792
126.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7580
122.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27685
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29864
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
29098
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
4728
375.0 IPS |
|
|
Object Detection (HP)
|
100% |
5272
418.2 IPS |
|
|
Object Detection (Q)
|
92% |
4789
382.3 IPS |
|
|
Face Detection (SP)
|
100% |
12619
149.9 IPS |
|
|
Face Detection (HP)
|
100% |
15764
187.3 IPS |
|
|
Face Detection (Q)
|
100% |
12966
154.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20795
160.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22975
177.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
20935
163.7 IPS |
|
|
Style Transfer (SP)
|
100% |
55117
70.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66977
86.1 IPS |
|
|
Style Transfer (Q)
|
96% |
64378
83.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11966
441.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12650
467.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11286
416.7 IPS |
|
|
Text Classification (SP)
|
100% |
3045
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5588
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5384
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1974
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3637
62.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1752
30.3 IPS |
