Mac16,10
Geekbench AI Score
4703
Single Precision Score
7742
Half Precision Score
6222
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | 46fy45 |
| Upload Date | November 16 2024 03:48 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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% |
2008
373.4 IPS |
|
|
Image Classification (HP)
|
100% |
3309
615.4 IPS |
|
|
Image Classification (Q)
|
96% |
2310
431.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2101
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3177
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3614
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10030
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19046
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16417
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2272
180.2 IPS |
|
|
Object Detection (HP)
|
97% |
3772
300.3 IPS |
|
|
Object Detection (Q)
|
94% |
2696
214.9 IPS |
|
|
Face Detection (SP)
|
100% |
3912
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
7383
87.7 IPS |
|
|
Face Detection (Q)
|
100% |
4364
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8315
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14648
113.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10206
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25104
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38173
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31492
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5798
214.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6755
249.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4782
176.6 IPS |
|
|
Text Classification (SP)
|
100% |
2975
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5456
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5187
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3915
67.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6741
116.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6773
117.1 IPS |
