Mac16,10
Geekbench AI Score
8153
Single Precision Score
9879
Half Precision Score
8019
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | HMK75 |
| Upload Date | January 15 2025 08:18 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4730
879.5 IPS |
|
|
Image Classification (HP)
|
100% |
5140
955.8 IPS |
|
|
Image Classification (Q)
|
99% |
5124
955.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4928
79.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7021
113.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
7014
113.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
30019
35.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31885
37.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
30155
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
2714
215.3 IPS |
|
|
Object Detection (HP)
|
100% |
2883
228.7 IPS |
|
|
Object Detection (Q)
|
91% |
4721
377.3 IPS |
|
|
Face Detection (SP)
|
100% |
12620
149.9 IPS |
|
|
Face Detection (HP)
|
100% |
16499
196.0 IPS |
|
|
Face Detection (Q)
|
100% |
12461
148.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
21517
165.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23889
184.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
3707
28.7 IPS |
|
|
Style Transfer (SP)
|
100% |
59984
77.1 IPS |
|
|
Style Transfer (HP)
|
100% |
72483
93.2 IPS |
|
|
Style Transfer (Q)
|
100% |
72533
93.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12543
463.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13595
502.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10540
390.5 IPS |
|
|
Text Classification (SP)
|
100% |
3077
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
5368
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5604
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1088
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1281
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1087
18.8 IPS |
