Mac16,10
Geekbench AI Score
4658
Single Precision Score
7659
Half Precision Score
6206
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 12:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1998
371.5 IPS |
|
|
Image Classification (HP)
|
100% |
3284
610.7 IPS |
|
|
Image Classification (Q)
|
96% |
2315
432.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3226
52.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3626
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9872
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18927
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16369
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2258
179.1 IPS |
|
|
Object Detection (HP)
|
97% |
3739
297.7 IPS |
|
|
Object Detection (Q)
|
94% |
2678
213.5 IPS |
|
|
Face Detection (SP)
|
100% |
3821
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
7013
83.3 IPS |
|
|
Face Detection (Q)
|
100% |
4288
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8241
63.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14580
112.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10068
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24847
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38091
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31514
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5728
211.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6605
243.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4771
176.2 IPS |
|
|
Text Classification (SP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5320
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5235
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3883
66.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6775
117.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6785
117.3 IPS |
