Mac16,10
Geekbench AI Score
8586
Single Precision Score
10483
Half Precision Score
9423
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 08 2024 08:19 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| 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% |
4604
856.2 IPS |
|
|
Image Classification (HP)
|
100% |
4976
925.3 IPS |
|
|
Image Classification (Q)
|
97% |
4349
811.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4927
79.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6996
113.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7567
122.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
29931
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32016
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30523
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4968
394.1 IPS |
|
|
Object Detection (HP)
|
100% |
5431
430.8 IPS |
|
|
Object Detection (Q)
|
91% |
4637
370.5 IPS |
|
|
Face Detection (SP)
|
100% |
12840
152.6 IPS |
|
|
Face Detection (HP)
|
100% |
15901
188.9 IPS |
|
|
Face Detection (Q)
|
100% |
12273
145.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21355
164.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23579
181.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
19858
155.2 IPS |
|
|
Style Transfer (SP)
|
100% |
58573
75.3 IPS |
|
|
Style Transfer (HP)
|
100% |
71596
92.0 IPS |
|
|
Style Transfer (Q)
|
96% |
68679
88.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12468
460.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13731
507.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10824
399.7 IPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5501
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5460
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1011
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1306
22.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1199
20.7 IPS |
