Mac16,10
Geekbench AI Score
4563
Single Precision Score
36793
Half Precision Score
53440
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Hais |
| Upload Date | November 12 2024 11:04 PM |
| Views | 17 |
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% |
1921
357.2 IPS |
|
|
Image Classification (HP)
|
100% |
18254
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
27355
5.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2008
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21945
355.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30310
491.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9666
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
123618
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232651
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2218
175.9 IPS |
|
|
Object Detection (HP)
|
100% |
19498
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
27625
2.21 KIPS |
|
|
Face Detection (SP)
|
100% |
3689
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
39255
466.4 IPS |
|
|
Face Detection (Q)
|
100% |
64288
763.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8157
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99980
770.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
172676
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
24504
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
234277
301.2 IPS |
|
|
Style Transfer (Q)
|
96% |
302296
390.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5662
209.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50975
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
89384
3.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3030
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
6457
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6775
9.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3746
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
15560
268.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17543
303.2 IPS |
