Mac16,10
Geekbench AI Score
4733
Single Precision Score
36898
Half Precision Score
52103
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 08 2024 08:21 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| 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% |
2029
377.3 IPS |
|
|
Image Classification (HP)
|
100% |
18037
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
26548
4.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2085
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21468
348.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30221
489.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10043
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123994
144.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
233407
273.6 IPS |
|
|
Object Detection (SP)
|
100% |
2304
182.8 IPS |
|
|
Object Detection (HP)
|
100% |
18485
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26312
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4054
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
43709
519.4 IPS |
|
|
Face Detection (Q)
|
100% |
62054
737.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8415
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99099
763.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
169263
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25436
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
230121
295.8 IPS |
|
|
Style Transfer (Q)
|
96% |
298772
385.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5766
212.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50478
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84383
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6370
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6210
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3940
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16445
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18198
314.5 IPS |
