Mac16,10
Geekbench AI Score
4545
Single Precision Score
36853
Half Precision Score
52563
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Hais |
| Upload Date | November 12 2024 11:18 PM |
| Views | 11 |
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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1929
358.7 IPS |
|
|
Image Classification (HP)
|
100% |
17936
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
26517
4.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2057
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21708
351.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30024
486.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9609
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123423
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
233024
273.1 IPS |
|
|
Object Detection (SP)
|
100% |
2197
174.3 IPS |
|
|
Object Detection (HP)
|
100% |
19279
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
26930
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3644
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
41488
493.0 IPS |
|
|
Face Detection (Q)
|
100% |
60063
713.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8118
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99396
765.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
171902
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24461
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
234040
300.9 IPS |
|
|
Style Transfer (Q)
|
96% |
301684
389.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5699
210.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51046
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88335
3.26 KIPS |
|
|
Text Classification (SP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
6594
8.80 KIPS |
|
|
Text Classification (Q)
|
93% |
6675
8.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3651
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
15356
264.5 IPS |
|
|
Machine Translation (Q)
|
98% |
17546
303.2 IPS |
