Mac16,10
Geekbench AI Score
8413
Single Precision Score
10284
Half Precision Score
9320
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ___ |
| Upload Date | November 09 2024 01:44 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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% |
4624
860.0 IPS |
|
|
Image Classification (HP)
|
100% |
5007
931.1 IPS |
|
|
Image Classification (Q)
|
97% |
4460
832.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4935
80.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7013
113.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7596
123.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
30106
35.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
32257
37.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
30700
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
4786
379.6 IPS |
|
|
Object Detection (HP)
|
100% |
5426
430.4 IPS |
|
|
Object Detection (Q)
|
91% |
4687
374.5 IPS |
|
|
Face Detection (SP)
|
100% |
12170
144.6 IPS |
|
|
Face Detection (HP)
|
100% |
16387
194.7 IPS |
|
|
Face Detection (Q)
|
100% |
12355
146.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21269
163.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23816
183.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
20527
160.5 IPS |
|
|
Style Transfer (SP)
|
100% |
58497
75.2 IPS |
|
|
Style Transfer (HP)
|
100% |
71759
92.2 IPS |
|
|
Style Transfer (Q)
|
96% |
67554
87.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12330
455.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13518
499.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10632
392.6 IPS |
|
|
Text Classification (SP)
|
100% |
2917
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5211
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5163
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1092
18.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1079
18.6 IPS |
