Mac16,1
Geekbench AI Score
9221
Single Precision Score
11085
Half Precision Score
9778
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 03:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,1 |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4587
853.1 IPS |
|
|
Image Classification (HP)
|
100% |
4975
925.3 IPS |
|
|
Image Classification (Q)
|
97% |
4341
810.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5018
81.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7048
114.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7593
123.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29951
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32101
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30516
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5012
397.5 IPS |
|
|
Object Detection (HP)
|
100% |
5410
429.1 IPS |
|
|
Object Detection (Q)
|
91% |
4636
370.4 IPS |
|
|
Face Detection (SP)
|
100% |
13128
156.0 IPS |
|
|
Face Detection (HP)
|
100% |
16654
197.9 IPS |
|
|
Face Detection (Q)
|
100% |
12470
148.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21392
164.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23589
181.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
19868
155.3 IPS |
|
|
Style Transfer (SP)
|
100% |
60013
77.1 IPS |
|
|
Style Transfer (HP)
|
100% |
72075
92.7 IPS |
|
|
Style Transfer (Q)
|
96% |
67948
87.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12302
454.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13711
506.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10706
395.3 IPS |
|
|
Text Classification (SP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5531
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5552
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2071
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2144
36.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1713
29.6 IPS |
