Mac16,10
Geekbench AI Score
8556
Single Precision Score
10344
Half Precision Score
9595
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | hawie |
| Upload Date | December 14 2024 06:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
4638
862.6 IPS |
|
|
Image Classification (HP)
|
100% |
4968
923.9 IPS |
|
|
Image Classification (Q)
|
97% |
4346
811.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4984
80.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7014
113.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7572
122.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29715
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32054
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30541
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4997
396.3 IPS |
|
|
Object Detection (HP)
|
100% |
5426
430.4 IPS |
|
|
Object Detection (Q)
|
91% |
4804
383.9 IPS |
|
|
Face Detection (SP)
|
100% |
13109
155.8 IPS |
|
|
Face Detection (HP)
|
100% |
16727
198.7 IPS |
|
|
Face Detection (Q)
|
100% |
12578
149.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21396
164.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23609
181.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
20318
158.8 IPS |
|
|
Style Transfer (SP)
|
100% |
58745
75.5 IPS |
|
|
Style Transfer (HP)
|
100% |
72068
92.6 IPS |
|
|
Style Transfer (Q)
|
96% |
67776
87.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12313
454.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13722
506.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10718
395.8 IPS |
|
|
Text Classification (SP)
|
100% |
3061
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5416
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5612
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1315
22.7 IPS |
