Mac16,10
Geekbench AI Score
8560
Single Precision Score
10238
Half Precision Score
9276
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | sampatel |
| Upload Date | November 16 2024 06:28 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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% |
4674
869.2 IPS |
|
|
Image Classification (HP)
|
100% |
4873
906.3 IPS |
|
|
Image Classification (Q)
|
97% |
4251
793.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4946
80.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6985
113.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7550
122.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
29770
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32063
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30511
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4877
386.9 IPS |
|
|
Object Detection (HP)
|
100% |
5360
425.2 IPS |
|
|
Object Detection (Q)
|
91% |
4609
368.3 IPS |
|
|
Face Detection (SP)
|
100% |
12991
154.4 IPS |
|
|
Face Detection (HP)
|
100% |
16428
195.2 IPS |
|
|
Face Detection (Q)
|
100% |
11993
142.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21224
163.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23515
181.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
20195
157.9 IPS |
|
|
Style Transfer (SP)
|
100% |
58604
75.3 IPS |
|
|
Style Transfer (HP)
|
100% |
71715
92.2 IPS |
|
|
Style Transfer (Q)
|
96% |
67906
87.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12274
453.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13428
495.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10800
398.8 IPS |
|
|
Text Classification (SP)
|
100% |
2926
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5410
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5495
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1085
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1075
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1071
18.5 IPS |
