Mac16,13
Geekbench AI Score
4734
Single Precision Score
7819
Half Precision Score
6274
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | daveyappleseed |
| Upload Date | July 27 2025 11:17 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2028
377.1 IPS |
|
|
Image Classification (HP)
|
100% |
3335
620.3 IPS |
|
|
Image Classification (Q)
|
96% |
2296
428.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2066
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3119
50.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3525
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9805
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19392
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16549
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2402
190.5 IPS |
|
|
Object Detection (HP)
|
97% |
3762
299.5 IPS |
|
|
Object Detection (Q)
|
94% |
2660
212.0 IPS |
|
|
Face Detection (SP)
|
100% |
4038
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
7260
86.3 IPS |
|
|
Face Detection (Q)
|
100% |
4197
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8508
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14474
111.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10102
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20903
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38458
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31537
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5994
221.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7298
269.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5068
187.1 IPS |
|
|
Text Classification (SP)
|
100% |
3068
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5478
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5651
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4340
74.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6970
120.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6928
119.7 IPS |
