Mac16,3
Geekbench AI Score
4681
Single Precision Score
7716
Half Precision Score
6215
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 23 2024 08:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,3 |
| Model ID | Mac16,3 |
| Motherboard | Mac16,3 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2007
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
3252
604.8 IPS |
|
|
Image Classification (Q)
|
96% |
2302
429.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2053
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3145
51.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3599
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9855
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18975
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16443
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2260
179.3 IPS |
|
|
Object Detection (HP)
|
97% |
3745
298.1 IPS |
|
|
Object Detection (Q)
|
94% |
2683
213.9 IPS |
|
|
Face Detection (SP)
|
100% |
3809
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
7203
85.6 IPS |
|
|
Face Detection (Q)
|
100% |
4316
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8249
63.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14537
112.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10146
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24912
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37951
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31324
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5837
215.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6843
252.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4764
175.9 IPS |
|
|
Text Classification (SP)
|
100% |
3068
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5553
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5280
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3935
67.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6820
117.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6823
117.9 IPS |
