Mac16,10
Geekbench AI Score
4686
Single Precision Score
37040
Half Precision Score
52268
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | richarddcrossley |
| Upload Date | November 10 2024 01:55 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1993
370.6 IPS |
|
|
Image Classification (HP)
|
100% |
18832
3.50 KIPS |
|
|
Image Classification (Q)
|
97% |
27997
5.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2045
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21914
355.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30556
495.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9886
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122365
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
230544
270.2 IPS |
|
|
Object Detection (SP)
|
100% |
2229
176.8 IPS |
|
|
Object Detection (HP)
|
100% |
18483
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26271
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4005
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
44259
525.9 IPS |
|
|
Face Detection (Q)
|
100% |
61466
730.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8407
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99460
766.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
169559
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25395
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
234463
301.4 IPS |
|
|
Style Transfer (Q)
|
96% |
299229
386.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5754
212.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49560
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83571
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6187
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6180
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3938
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16458
283.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18237
315.2 IPS |
