Mac16,10
Geekbench AI Score
8586
Single Precision Score
10344
Half Precision Score
9389
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brett2032 |
| Upload Date | November 12 2024 12:59 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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% |
4680
870.3 IPS |
|
|
Image Classification (HP)
|
100% |
4996
929.0 IPS |
|
|
Image Classification (Q)
|
97% |
4325
807.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4943
80.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7013
113.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7571
122.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
29853
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32115
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30563
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5006
397.1 IPS |
|
|
Object Detection (HP)
|
100% |
5439
431.4 IPS |
|
|
Object Detection (Q)
|
91% |
4653
371.8 IPS |
|
|
Face Detection (SP)
|
100% |
13039
154.9 IPS |
|
|
Face Detection (HP)
|
100% |
16430
195.2 IPS |
|
|
Face Detection (Q)
|
100% |
12230
145.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21988
169.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23651
182.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
19938
155.9 IPS |
|
|
Style Transfer (SP)
|
100% |
60022
77.2 IPS |
|
|
Style Transfer (HP)
|
100% |
72017
92.6 IPS |
|
|
Style Transfer (Q)
|
96% |
67887
87.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12311
454.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13761
508.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10850
400.6 IPS |
|
|
Text Classification (SP)
|
100% |
3035
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5523
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5360
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
980
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1078
18.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1188
20.5 IPS |
