Mac16,10
Geekbench AI Score
4668
Single Precision Score
37241
Half Precision Score
53446
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Hais |
| Upload Date | November 12 2024 10:48 PM |
| Views | 25 |
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% |
1922
357.4 IPS |
|
|
Image Classification (HP)
|
100% |
17294
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
27425
5.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21826
353.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30337
491.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9824
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
124079
144.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
234233
274.5 IPS |
|
|
Object Detection (SP)
|
100% |
2268
179.9 IPS |
|
|
Object Detection (HP)
|
100% |
19449
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
27391
2.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3873
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
44207
525.3 IPS |
|
|
Face Detection (Q)
|
100% |
61622
732.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8357
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
100124
771.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
171878
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25269
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
235944
303.3 IPS |
|
|
Style Transfer (Q)
|
96% |
300186
387.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5815
214.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51028
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88801
3.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
6846
9.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6814
9.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3855
66.4 IPS |
|
|
Machine Translation (HP)
|
100% |
15444
266.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18522
320.1 IPS |
