Mac16,10
Geekbench AI Score
8344
Single Precision Score
10123
Half Precision Score
9374
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Qetesh |
| Upload Date | November 20 2024 01:26 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| Model | Mac16,10 |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| 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% |
4517
840.1 IPS |
|
|
Image Classification (HP)
|
100% |
4920
914.9 IPS |
|
|
Image Classification (Q)
|
97% |
4215
786.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4945
80.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6959
112.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7545
122.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
29687
34.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
32017
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30549
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4515
358.1 IPS |
|
|
Object Detection (HP)
|
100% |
5317
421.7 IPS |
|
|
Object Detection (Q)
|
91% |
4597
367.4 IPS |
|
|
Face Detection (SP)
|
100% |
12068
143.4 IPS |
|
|
Face Detection (HP)
|
100% |
15616
185.5 IPS |
|
|
Face Detection (Q)
|
100% |
12315
146.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21213
163.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23467
180.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
20158
157.6 IPS |
|
|
Style Transfer (SP)
|
100% |
59608
76.6 IPS |
|
|
Style Transfer (HP)
|
100% |
71863
92.4 IPS |
|
|
Style Transfer (Q)
|
96% |
67415
87.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12155
448.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13259
489.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10746
396.8 IPS |
|
|
Text Classification (SP)
|
100% |
3026
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5188
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5081
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
974
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1071
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1285
22.2 IPS |
