Mac16,10
Geekbench AI Score
7234
Single Precision Score
7644
Half Precision Score
7256
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 23 2024 08:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.94 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4148
771.4 IPS |
|
|
Image Classification (HP)
|
100% |
3915
728.0 IPS |
|
|
Image Classification (Q)
|
97% |
3290
613.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4584
74.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6505
105.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6876
111.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
29997
35.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32058
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30471
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
3756
297.9 IPS |
|
|
Object Detection (HP)
|
100% |
2958
234.6 IPS |
|
|
Object Detection (Q)
|
91% |
3817
305.0 IPS |
|
|
Face Detection (SP)
|
100% |
8678
103.1 IPS |
|
|
Face Detection (HP)
|
100% |
9363
111.3 IPS |
|
|
Face Detection (Q)
|
100% |
8636
102.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16990
130.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18512
142.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
15542
121.5 IPS |
|
|
Style Transfer (SP)
|
100% |
59682
76.7 IPS |
|
|
Style Transfer (HP)
|
100% |
71290
91.6 IPS |
|
|
Style Transfer (Q)
|
96% |
67557
87.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10918
403.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11388
420.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8724
322.1 IPS |
|
|
Text Classification (SP)
|
100% |
1791
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1893
2.53 KIPS |
|
|
Text Classification (Q)
|
93% |
1954
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1065
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1060
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
996
17.2 IPS |
