Mac16,13
Geekbench AI Score
8163
Single Precision Score
9706
Half Precision Score
8552
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dlambl |
| Upload Date | March 29 2025 02:05 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4366
812.0 IPS |
|
|
Image Classification (HP)
|
100% |
4812
894.9 IPS |
|
|
Image Classification (Q)
|
97% |
4124
769.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4653
75.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6637
107.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7088
114.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27710
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29919
34.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
28461
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
4671
370.5 IPS |
|
|
Object Detection (HP)
|
100% |
5232
415.0 IPS |
|
|
Object Detection (Q)
|
91% |
4407
352.1 IPS |
|
|
Face Detection (SP)
|
100% |
12552
149.1 IPS |
|
|
Face Detection (HP)
|
100% |
15709
186.7 IPS |
|
|
Face Detection (Q)
|
100% |
11752
139.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20149
155.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22261
171.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
19244
150.4 IPS |
|
|
Style Transfer (SP)
|
100% |
54589
70.2 IPS |
|
|
Style Transfer (HP)
|
100% |
66791
85.9 IPS |
|
|
Style Transfer (Q)
|
96% |
62086
80.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11505
424.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12692
468.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10206
376.9 IPS |
|
|
Text Classification (SP)
|
100% |
3012
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5507
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5417
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1045
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
910
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
736
12.7 IPS |
