Mac16,10
Geekbench AI Score
8479
Single Precision Score
10475
Half Precision Score
9439
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | oscarbg81 |
| Upload Date | November 07 2024 09:45 PM |
| Views | 12 |
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% |
4603
856.1 IPS |
|
|
Image Classification (HP)
|
100% |
5027
934.9 IPS |
|
|
Image Classification (Q)
|
97% |
4365
814.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4878
79.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6973
113.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7559
122.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
29769
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32064
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30511
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4965
393.9 IPS |
|
|
Object Detection (HP)
|
100% |
5409
429.0 IPS |
|
|
Object Detection (Q)
|
91% |
4656
372.1 IPS |
|
|
Face Detection (SP)
|
100% |
12914
153.4 IPS |
|
|
Face Detection (HP)
|
100% |
15633
185.8 IPS |
|
|
Face Detection (Q)
|
100% |
11957
142.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
21229
163.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23581
181.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
19842
155.1 IPS |
|
|
Style Transfer (SP)
|
100% |
58690
75.4 IPS |
|
|
Style Transfer (HP)
|
100% |
71904
92.4 IPS |
|
|
Style Transfer (Q)
|
96% |
67649
87.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12240
452.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13728
506.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10742
396.7 IPS |
|
|
Text Classification (SP)
|
100% |
3005
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5646
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5522
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
979
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1274
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1259
21.8 IPS |
