Mac16,10
Geekbench AI Score
9186
Single Precision Score
11099
Half Precision Score
10048
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Blueturbos4 |
| Upload Date | December 25 2024 03:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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% |
4636
862.2 IPS |
|
|
Image Classification (HP)
|
100% |
4957
921.9 IPS |
|
|
Image Classification (Q)
|
97% |
4359
813.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4885
79.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7008
113.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7639
123.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29926
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32145
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30718
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
4965
393.8 IPS |
|
|
Object Detection (HP)
|
100% |
5439
431.5 IPS |
|
|
Object Detection (Q)
|
91% |
4648
371.4 IPS |
|
|
Face Detection (SP)
|
100% |
12648
150.3 IPS |
|
|
Face Detection (HP)
|
100% |
16759
199.1 IPS |
|
|
Face Detection (Q)
|
100% |
12409
147.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21532
165.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23906
184.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
20431
159.7 IPS |
|
|
Style Transfer (SP)
|
100% |
58364
75.0 IPS |
|
|
Style Transfer (HP)
|
100% |
72039
92.6 IPS |
|
|
Style Transfer (Q)
|
96% |
68172
88.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12611
465.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13724
506.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10811
399.2 IPS |
|
|
Text Classification (SP)
|
100% |
3097
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5395
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5364
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2049
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2186
37.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2202
38.1 IPS |
