Mac16,10
Geekbench AI Score
8264
Single Precision Score
9745
Half Precision Score
9355
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 20 2024 06:56 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4741
881.6 IPS |
|
|
Image Classification (HP)
|
100% |
5238
974.0 IPS |
|
|
Image Classification (Q)
|
97% |
4350
811.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4936
80.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7004
113.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7545
122.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
29690
34.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
32006
37.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
30443
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
3910
310.2 IPS |
|
|
Object Detection (HP)
|
100% |
2857
226.6 IPS |
|
|
Object Detection (Q)
|
91% |
4642
370.9 IPS |
|
|
Face Detection (SP)
|
100% |
12239
145.4 IPS |
|
|
Face Detection (HP)
|
100% |
16412
195.0 IPS |
|
|
Face Detection (Q)
|
100% |
11719
139.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21304
164.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23490
181.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
19785
154.7 IPS |
|
|
Style Transfer (SP)
|
100% |
58550
75.3 IPS |
|
|
Style Transfer (HP)
|
100% |
71637
92.1 IPS |
|
|
Style Transfer (Q)
|
96% |
67811
87.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12507
461.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13731
507.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10737
396.5 IPS |
|
|
Text Classification (SP)
|
100% |
2935
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5617
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5438
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
977
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1081
18.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1206
20.8 IPS |
