Mac16,10
Geekbench AI Score
4707
Single Precision Score
7805
Half Precision Score
6293
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 07:15 PM |
| Views | 2 |
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% |
2002
372.3 IPS |
|
|
Image Classification (HP)
|
100% |
3305
614.6 IPS |
|
|
Image Classification (Q)
|
96% |
2314
432.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2084
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3180
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3606
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9911
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18958
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16494
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2284
181.2 IPS |
|
|
Object Detection (HP)
|
97% |
3772
300.3 IPS |
|
|
Object Detection (Q)
|
94% |
2734
217.9 IPS |
|
|
Face Detection (SP)
|
100% |
3902
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
7517
89.3 IPS |
|
|
Face Detection (Q)
|
100% |
4461
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8370
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14752
114.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10288
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25109
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38380
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31902
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5705
210.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6856
253.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4781
176.5 IPS |
|
|
Text Classification (SP)
|
100% |
3115
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
5564
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5443
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3886
66.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6883
118.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6802
117.5 IPS |
