Mac16,10
Geekbench AI Score
4732
Single Precision Score
7826
Half Precision Score
6309
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Blueturbos4 |
| Upload Date | November 19 2024 02:29 AM |
| Views | 5 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2040
379.4 IPS |
|
|
Image Classification (HP)
|
100% |
3307
615.0 IPS |
|
|
Image Classification (Q)
|
96% |
2331
435.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3185
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3630
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10098
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19059
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16554
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2289
181.6 IPS |
|
|
Object Detection (HP)
|
97% |
3804
302.8 IPS |
|
|
Object Detection (Q)
|
94% |
2732
217.8 IPS |
|
|
Face Detection (SP)
|
100% |
3854
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
7508
89.2 IPS |
|
|
Face Detection (Q)
|
100% |
4414
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8315
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14722
113.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10254
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25341
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38501
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31852
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5892
217.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6865
253.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4797
177.1 IPS |
|
|
Text Classification (SP)
|
100% |
3040
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5533
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5449
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3916
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6990
120.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6939
119.9 IPS |
