Mac16,10
Geekbench AI Score
8662
Single Precision Score
10455
Half Precision Score
9297
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 25 2024 09:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4665
867.5 IPS |
|
|
Image Classification (HP)
|
100% |
5000
929.9 IPS |
|
|
Image Classification (Q)
|
97% |
4339
809.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4898
79.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6945
112.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7538
122.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
29897
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32058
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30456
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
4959
393.3 IPS |
|
|
Object Detection (HP)
|
100% |
5410
429.1 IPS |
|
|
Object Detection (Q)
|
91% |
4642
370.9 IPS |
|
|
Face Detection (SP)
|
100% |
12776
151.8 IPS |
|
|
Face Detection (HP)
|
100% |
16052
190.7 IPS |
|
|
Face Detection (Q)
|
100% |
12168
144.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21339
164.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23453
180.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
19795
154.7 IPS |
|
|
Style Transfer (SP)
|
100% |
59606
76.6 IPS |
|
|
Style Transfer (HP)
|
100% |
71798
92.3 IPS |
|
|
Style Transfer (Q)
|
96% |
67573
87.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12261
452.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13716
506.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10662
393.7 IPS |
|
|
Text Classification (SP)
|
100% |
2919
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5413
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5398
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1208
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1292
22.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1114
19.2 IPS |
