Mac16,10
Geekbench AI Score
4597
Single Precision Score
36840
Half Precision Score
52015
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 18 2024 04:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1981
368.4 IPS |
|
|
Image Classification (HP)
|
100% |
17508
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
25861
4.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2008
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21651
351.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
29977
485.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9792
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123614
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232032
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2228
176.8 IPS |
|
|
Object Detection (HP)
|
100% |
18897
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26199
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
3753
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
43775
520.1 IPS |
|
|
Face Detection (Q)
|
100% |
58821
698.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8271
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
98725
760.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
171910
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24937
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
234601
301.6 IPS |
|
|
Style Transfer (Q)
|
96% |
297952
384.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5668
209.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51126
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86947
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3026
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
6449
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6657
8.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3660
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
15558
268.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17641
304.9 IPS |
