Mac16,10
Geekbench AI Score
2009
Single Precision Score
35958
Half Precision Score
50826
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 23 2024 08:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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 | 3.34 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
638
118.6 IPS |
|
|
Image Classification (HP)
|
100% |
19201
3.57 KIPS |
|
|
Image Classification (Q)
|
97% |
29166
5.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1191
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20894
338.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
28466
461.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4160
4.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
111549
130.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
212362
248.9 IPS |
|
|
Object Detection (SP)
|
100% |
872
69.2 IPS |
|
|
Object Detection (HP)
|
100% |
17635
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
23704
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
2842
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
39498
469.3 IPS |
|
|
Face Detection (Q)
|
100% |
61225
727.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4273
32.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
92671
714.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
149220
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
7079
9.10 IPS |
|
|
Style Transfer (HP)
|
100% |
221306
284.5 IPS |
|
|
Style Transfer (Q)
|
96% |
281898
363.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2086
77.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45249
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
73752
2.72 KIPS |
|
|
Text Classification (SP)
|
100% |
1680
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
7773
10.4 KIPS |
|
|
Text Classification (Q)
|
93% |
7751
10.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
1293
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16076
276.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18698
323.1 IPS |
