Mac16,1
Geekbench AI Score
4734
Single Precision Score
7811
Half Precision Score
6279
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 12:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,1 |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| 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% |
2013
374.3 IPS |
|
|
Image Classification (HP)
|
100% |
3300
613.7 IPS |
|
|
Image Classification (Q)
|
96% |
2309
431.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2215
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3426
55.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3693
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9957
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18932
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16376
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2223
176.3 IPS |
|
|
Object Detection (HP)
|
97% |
3769
300.1 IPS |
|
|
Object Detection (Q)
|
94% |
2693
214.6 IPS |
|
|
Face Detection (SP)
|
100% |
3837
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
7295
86.7 IPS |
|
|
Face Detection (Q)
|
100% |
4345
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8293
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14573
112.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10182
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25222
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38376
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31704
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5844
215.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6786
250.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4832
178.4 IPS |
|
|
Text Classification (SP)
|
100% |
3132
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
5549
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5533
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3904
67.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6822
117.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6763
116.9 IPS |
