Mac16,11
Geekbench AI Score
5697
Single Precision Score
8752
Half Precision Score
7305
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | November 20 2024 05:33 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2077
386.3 IPS |
|
|
Image Classification (HP)
|
100% |
3000
557.8 IPS |
|
|
Image Classification (Q)
|
99% |
2979
555.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2484
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3471
56.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
3370
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18253
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
30848
36.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23422
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
2443
193.8 IPS |
|
|
Object Detection (HP)
|
97% |
3790
301.7 IPS |
|
|
Object Detection (Q)
|
94% |
2620
208.8 IPS |
|
|
Face Detection (SP)
|
100% |
4469
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
7586
90.1 IPS |
|
|
Face Detection (Q)
|
100% |
4362
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8455
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13709
105.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
14142
109.4 IPS |
|
|
Style Transfer (SP)
|
100% |
34874
44.8 IPS |
|
|
Style Transfer (HP)
|
100% |
48163
61.9 IPS |
|
|
Style Transfer (Q)
|
100% |
47993
61.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6952
256.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9273
342.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5088
188.5 IPS |
|
|
Text Classification (SP)
|
100% |
2968
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5277
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5281
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5763
99.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8839
152.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8833
152.6 IPS |
