Mac16,3
Geekbench AI Score
4586
Single Precision Score
7695
Half Precision Score
6121
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 06 2024 02:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,3 |
| Model ID | Mac16,3 |
| Motherboard | Mac16,3 |
| 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% |
1961
364.6 IPS |
|
|
Image Classification (HP)
|
100% |
3281
610.2 IPS |
|
|
Image Classification (Q)
|
96% |
2170
405.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1957
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3056
49.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3459
56.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9090
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18947
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16345
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2209
175.2 IPS |
|
|
Object Detection (HP)
|
97% |
3757
299.1 IPS |
|
|
Object Detection (Q)
|
94% |
2659
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
3827
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
7183
85.3 IPS |
|
|
Face Detection (Q)
|
100% |
4149
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8229
63.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14475
111.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10059
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24905
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38160
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31387
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5852
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6858
253.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4792
176.9 IPS |
|
|
Text Classification (SP)
|
100% |
3052
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5595
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5351
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3819
65.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6704
115.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6741
116.5 IPS |
