Mac16,13
Geekbench AI Score
4671
Single Precision Score
7759
Half Precision Score
6236
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Aaronage |
| Upload Date | March 16 2025 10:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1989
369.9 IPS |
|
|
Image Classification (HP)
|
100% |
3279
609.7 IPS |
|
|
Image Classification (Q)
|
96% |
2302
429.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3254
52.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3614
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9850
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19071
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16439
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2252
178.6 IPS |
|
|
Object Detection (HP)
|
97% |
3739
297.7 IPS |
|
|
Object Detection (Q)
|
94% |
2654
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
3759
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
7248
86.1 IPS |
|
|
Face Detection (Q)
|
100% |
4287
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8260
63.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14512
112.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10089
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25007
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38091
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31495
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5837
215.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6835
252.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4837
178.6 IPS |
|
|
Text Classification (SP)
|
100% |
2986
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5493
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5424
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3925
67.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6915
119.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6861
118.6 IPS |
