Mac16,10
Geekbench AI Score
8696
Single Precision Score
10265
Half Precision Score
9362
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | richarddcrossley |
| Upload Date | November 10 2024 10:58 AM |
| Views | 6 |
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% |
4642
863.4 IPS |
|
|
Image Classification (HP)
|
100% |
4985
927.0 IPS |
|
|
Image Classification (Q)
|
97% |
4330
808.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4889
79.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6980
113.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7587
123.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
29800
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32076
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30523
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5003
396.8 IPS |
|
|
Object Detection (HP)
|
100% |
5436
431.2 IPS |
|
|
Object Detection (Q)
|
91% |
4657
372.1 IPS |
|
|
Face Detection (SP)
|
100% |
12967
154.1 IPS |
|
|
Face Detection (HP)
|
100% |
15880
188.7 IPS |
|
|
Face Detection (Q)
|
100% |
11772
139.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21387
164.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23559
181.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
19808
154.8 IPS |
|
|
Style Transfer (SP)
|
100% |
59720
76.8 IPS |
|
|
Style Transfer (HP)
|
100% |
71617
92.1 IPS |
|
|
Style Transfer (Q)
|
96% |
67934
87.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12549
463.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13757
508.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10829
399.9 IPS |
|
|
Text Classification (SP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5368
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5322
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1186
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1083
18.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1214
21.0 IPS |
