Mac16,11
Geekbench AI Score
5741
Single Precision Score
37137
Half Precision Score
50155
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 08:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2082
387.2 IPS |
|
|
Image Classification (HP)
|
100% |
17941
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
23100
4.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2483
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23228
376.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32335
524.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18880
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123504
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
230181
269.8 IPS |
|
|
Object Detection (SP)
|
100% |
2479
196.7 IPS |
|
|
Object Detection (HP)
|
100% |
20739
1.65 KIPS |
|
|
Object Detection (Q)
|
91% |
25256
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4424
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
45307
538.3 IPS |
|
|
Face Detection (Q)
|
100% |
65093
773.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8763
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
114003
878.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
181889
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
35687
45.9 IPS |
|
|
Style Transfer (HP)
|
100% |
235106
302.2 IPS |
|
|
Style Transfer (Q)
|
96% |
299154
386.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7010
258.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47833
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79643
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2955
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
4823
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4991
6.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
5610
96.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16688
287.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16478
284.8 IPS |
