Mac16,10
Geekbench AI Score
8927
Single Precision Score
11110
Half Precision Score
9847
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | neph |
| Upload Date | November 29 2024 06:53 PM |
| Views | 1 |
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 | 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% |
4712
876.3 IPS |
|
|
Image Classification (HP)
|
100% |
4986
927.2 IPS |
|
|
Image Classification (Q)
|
97% |
4350
811.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4936
80.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7029
113.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7684
124.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
29858
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32145
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30669
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
4985
395.4 IPS |
|
|
Object Detection (HP)
|
100% |
5489
435.4 IPS |
|
|
Object Detection (Q)
|
91% |
4723
377.4 IPS |
|
|
Face Detection (SP)
|
100% |
12349
146.7 IPS |
|
|
Face Detection (HP)
|
100% |
16429
195.2 IPS |
|
|
Face Detection (Q)
|
100% |
12499
148.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21481
165.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23722
182.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
20056
156.8 IPS |
|
|
Style Transfer (SP)
|
100% |
59859
77.0 IPS |
|
|
Style Transfer (HP)
|
100% |
71987
92.5 IPS |
|
|
Style Transfer (Q)
|
96% |
68014
87.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12287
453.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13775
508.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10998
406.1 IPS |
|
|
Text Classification (SP)
|
100% |
2963
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5399
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5418
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1607
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2221
38.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1743
30.1 IPS |
