Mac16,10
Geekbench AI Score
4751
Single Precision Score
7838
Half Precision Score
6315
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | richarddcrossley |
| Upload Date | November 10 2024 10:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2043
379.9 IPS |
|
|
Image Classification (HP)
|
100% |
3286
611.1 IPS |
|
|
Image Classification (Q)
|
96% |
2317
432.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3196
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3625
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10004
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19033
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16568
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2306
182.9 IPS |
|
|
Object Detection (HP)
|
97% |
3817
303.9 IPS |
|
|
Object Detection (Q)
|
94% |
2753
219.4 IPS |
|
|
Face Detection (SP)
|
100% |
3983
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
7573
90.0 IPS |
|
|
Face Detection (Q)
|
100% |
4470
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8418
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14884
115.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10368
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25454
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38558
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32036
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5758
212.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6855
253.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4771
176.2 IPS |
|
|
Text Classification (SP)
|
100% |
3040
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5577
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5367
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3935
67.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6906
119.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6932
119.8 IPS |
