Mac16,8
Geekbench AI Score
15436
Single Precision Score
17437
Half Precision Score
15374
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 10:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,8 |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7675
1.43 KIPS |
|
|
Image Classification (HP)
|
100% |
8343
1.55 KIPS |
|
|
Image Classification (Q)
|
97% |
6958
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12191
197.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13005
210.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13404
217.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
56926
66.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
59141
69.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
55981
65.6 IPS |
|
|
Object Detection (SP)
|
100% |
7222
572.8 IPS |
|
|
Object Detection (HP)
|
100% |
7677
608.9 IPS |
|
|
Object Detection (Q)
|
91% |
6412
512.3 IPS |
|
|
Face Detection (SP)
|
100% |
25655
304.8 IPS |
|
|
Face Detection (HP)
|
100% |
29114
345.9 IPS |
|
|
Face Detection (Q)
|
100% |
21015
249.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
33366
257.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35897
276.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
29555
231.0 IPS |
|
|
Style Transfer (SP)
|
100% |
123816
159.2 IPS |
|
|
Style Transfer (HP)
|
100% |
134996
173.5 IPS |
|
|
Style Transfer (Q)
|
96% |
127645
164.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22914
846.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24360
899.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19719
728.1 IPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5197
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5204
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2809
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2954
50.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2710
46.8 IPS |
